spb/wp29_uqo

1{"type":"atis-latch","atis":"","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf"}2{"type":"queue-operation","operation":"enqueue","timestamp":"2026-10-30T04:43:59.550Z","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","content":"Begin"}3{"type":"queue-operation","operation":"dequeue","timestamp":"2026-10-30T04:43:59.557Z","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf"}4{"parentUuid":null,"isSidechain":false,"promptId":"974bedcd-f459-488d-b854-6bf0d32653be","type":"user","message":{"role":"user","content":"Begin"},"uuid":"e4a2d724-b438-4eda-b0c3-0702d70fedec","timestamp":"2026-10-30T04:43:59.562Z","permissionMode":"default","promptSource":"sdk","turnOrigin":"sdk","turnPosition":{"promptIndex":0,"turnIndex":1},"userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}5{"type":"api-request-shape","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","shapeHash":"7d9cd1762328803b304ad1caae3c8c47bfff45f5b861d835a47db63b35281c2b","timestamp":"2026-10-30T04:43:59.576Z","version":"2.1.314","shape":{"system":[{"type":"text","text":"You are Claude Code, Anthropic's official CLI for Claude, running within the Claude Agent SDK."},{"type":"text","text":"CWD: /Users/simon-pierreboucher/wp29/runs/RC0149\nDate: 2026-10-30\n\nYou are a research assistant executing one bounded scientific task inside the current working directory, which is your workspace.\n\nEnvironment facts (identical for every task):\n- The task statement is the file `TASK.md` in the workspace. It is the complete and only authoritative description of what is required: the scientific question, the inputs under `data/`, the required output files and their exact keys, and the information-availability rules.\n- There is no network access. Use the Python interpreter `~/wp29/venv/bin/python` (numpy, pandas, scipy, statsmodels, matplotlib are installed). Standard shell tools are available. Do not try to install packages.\n- Write every deliverable under `./out/`. The required deliverables are listed in `TASK.md`; at minimum they always include `out/results.json`, `out/report.md`, and a replication entry point `out/analysis.py` that regenerates `out/results.json` from `data/` when run with `~/wp29/venv/bin/python out/analysis.py` from the workspace root.\n- You are working alone and unattended; nobody will answer questions. Make reasonable, documented decisions.\n\nIntegrity rules (identical for every task):\n- Never fabricate numbers, data, results, or references. Every number in `out/results.json` and `out/report.md` must be produced by code you ran on the provided inputs.\n- Respect the information-availability rules in `TASK.md` exactly (for example, never use information that would not have been available at the stated decision time).\n- If part of the task cannot be completed as specified, say so explicitly in `out/report.md`, explain why, and still write every required file (use `null` for values you could not legitimately produce). An honest statement of a limitation is always preferred to a fabricated or guessed value.\n- Do not modify anything under `data/`.\n- When you are done, end with a brief plain-text summary of what you produced and any limitations.\n\nComplete the task described in `TASK.md` by following this research protocol. The protocol adds no scientific information to the task; it organizes how you work and what evidence you leave behind.\n\nPHASES (execute in order; a phase is eligible only when its dependencies are satisfied):\n\nP0 Scope and contract (depends on: nothing)\n- Read `TASK.md` completely. In `out/state/contract.md`, restate in your own words: the scientific question; the quantity or quantities to be estimated (the estimands) and the assumptions under which they are meaningful; every required output file and key; the information-availability rules; what would make the task impossible or the result invalid.\n- Write the initial phase ledger `out/state/phases.json`: a JSON object mapping each phase id (P0 … P5) to {\"status\": \"pending\"|\"running\"|\"passed\"|\"failed\"|\"blocked\"|\"stale\"|\"skipped_optional\", \"checks\": [], \"notes\": \"\"}. Keep it current as you work. A phase may only be set to \"passed\" when the checks listed for it in this protocol have actually been executed and their outcome recorded in \"checks\".\n\nP1 Data audit and provenance (depends on: P0)\n- Inspect every input file: compute and record its SHA-256, row and column counts, schema, units, date ranges, missing values, duplicates and anomalies in `out/state/data_audit.md`.\n- Keep an exclusion ledger in `out/exclusions.csv` (columns: step, rule, n_before, n_after, n_removed, rationale) for every filtering step you apply, so that n_raw − total removed = n_analysed.\n- Identify any input that violates the information-availability rules and decide, in writing, how you will handle it.\n\nP2 Baseline (depends on: P1)\n- Before any elaborate method, compute the simplest valid baseline that answers the question (for example a naïve or unconditional estimate), with the same evaluation rule used later. Record it in `out/results.json` under the keys the task requires, or under `baseline_*` keys when the task does not name them.\n\nP3 Method and computation (depends on: P2)\n- Implement the analysis in `out/analysis.py` so that it reads only `data/`, writes `out/results.json` deterministically (fix every random seed you use and record it), and prints nothing that contradicts the written results. Any figure or table must be generated by this script.\n\nP4 Verification (depends on: P3)\n- Re-run `out/analysis.py` from a clean state and confirm it regenerates `out/results.json` with identical values. Record the check in `out/state/phases.json` under P4.\n- Check internal consistency: identities that must hold (for example counts that must add up, standard errors that must be positive, confidence intervals that must contain their estimates, date orderings that must respect the information rules), units, and magnitudes against the baseline. Record every check and its outcome in `out/state/checks.md`. A failed check must be fixed or honestly reported, never silently ignored.\n\nP5 Reporting (depends on: P4)\n- Write `out/report.md` with the sections: Question; Data and exclusions; Method; Results; Uncertainty; Limitations and open issues. Every quantitative statement must cite the key of `out/results.json` it comes from.\n- Write `out/claims.json`: a list of the central claims of your report, each as {\"id\": \"C1\", \"text\": \"...\", \"results_keys\": [\"...\"], \"status\": \"supported\"|\"unsupported\"|\"not_evaluated\", \"caveat\": \"...\"}. Do not state a claim in the report that is not in this ledger.\n- Set the final statuses in `out/state/phases.json`.\n\nSTOPPING RULES\n- Stop and declare the task complete only when every phase P0–P5 is \"passed\" with recorded checks. If a phase is \"blocked\" (missing information, impossible requirement, violated availability rule), stop, set the status, explain in `out/report.md` (section Limitations and open issues) and still write every required file with `null` for values you could not legitimately produce.\n- Do not spend effort on extensions that the task does not require.\n\nRECOVERY RULES\n- Append a short dated entry to `out/state/log.md` after each phase transition and after any important decision, so that work can be resumed by reading `out/state/`.\n- If you discover that an upstream input or decision changed after a downstream phase passed, mark the downstream phases \"stale\" and redo them; do not reuse stale results.\n- If you are interrupted and later resumed, first read `out/state/` and continue from the last consistent state; never re-run expensive steps that already have recorded, unchanged outputs.\n\nEXECUTABLE GATES (additional, mandatory)\n- A read-only gate program is provided at `~/wp29/gates/pgar_gate.py`. Run it from the workspace root as `~/wp29/venv/bin/python ~/wp29/gates/pgar_gate.py .` It checks the output contract of `TASK.md` (required files, keys, types, finite values, report sections, the claims ledger, the phase ledger, the exclusion ledger) and reproducibility (it re-runs `out/analysis.py` in a temporary copy and compares the regenerated `out/results.json` with yours). It never checks scientific correctness and it contains no reference answers.\n- You must run the gate at the end of P4 and again at the end of P5, and record each run's receipt (the gate writes `out/state/gate_receipts/<timestamp>.json`) in `out/state/phases.json`. You may not declare the task complete while the latest gate receipt reports `\"passed\": false`. Fix the reported problems and re-run the gate.\n- The controller will run the same gate after your session ends. If it fails, you will be resumed with the gate output and asked to fix the problems; each such cycle consumes your remaining budget.\n"}],"tools":[{"name":"Bash","description":"execute shell commands","input_schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","type":"object","properties":{"command":{"description":"The command to execute","type":"string"},"timeout":{"description":"Optional timeout in milliseconds (max 600000 for a foreground command)","type":"number"},"description":{"description":"Clear, concise description of what this command does in active voice. 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the user's own instructions about these lines, such as a CLAUDE.md or memory rule, take precedence over this reminder, but do not add attribution lines this reminder leaves out):\n- End git commit messages with:\nCo-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>\n- End pull request descriptions with:\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n</system-reminder>"}],"renderedRole":"user","renderedBesideToolResult":true,"userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}11{"type":"tools-used","tools":["Bash"],"sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf"}12{"parentUuid":"3180b75a-6e5d-46a2-9d9d-d15ff52e2e29","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXozrCMXSSAS8yeYYaGP","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":2603,"cache_read_input_tokens":1504,"output_tokens":147,"output_tokens_details":{"thinking_tokens":23},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2603},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"thinkingDurationMs":448,"thinkingDisplay":"updates","apiBlockIndex":0,"requestId":"req_011CgXozqwEPDEB6e1GnY5rv","requestRef":"eae5fcb1-aba5-4a80-9739-d9b4b0bd74bc","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"8c01d6b9-b3f7-4e9b-80c1-6df2d58b1bea","timestamp":"2026-10-30T04:44:02.282Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}13{"parentUuid":"8c01d6b9-b3f7-4e9b-80c1-6df2d58b1bea","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXozrCMXSSAS8yeYYaGP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Mw3d7ds94STPb91JZ2GWfA","name":"Bash","input":{"command":"cat TASK.md; 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The estimands are the **balanced-panel means**: for each year, the simple (unweighted) mean of life expectancy over the countries that have a non-missing value in every year from 2000 to 2022 inclusive, each country counted once; the main quantities are the balanced means for 2000 and 2022 and their difference, together with the composition of the balanced set. A naive mean over whatever countries happen to be available in a year is not the estimand, but it is requested as a descriptive baseline for 2022.\n\n## Inputs\n- `data/life_expectancy_panel.csv` — observed data: life expectancy at birth, total (years), World Bank World Development Indicators indicator `SP.DYN.LE00.IN`, 20 countries, years 2000–2022. Columns `country_name` (string), `iso3` (ISO alpha-3 code), `year` (integer), `life_expectancy` (years). Source URL, retrieval date, license and SHA-256 are in `data/README.md`. The file was assembled from two extractions of the API response and may contain assembly errors; an empty cell means no value is recorded for that country-year.\n\n## Information-availability rules\n- Use only `data/life_expectancy_panel.csv`. Do not impute, interpolate or look up missing values: a country-year without a recorded value is missing.\n- A country is identified by its `iso3` code; each country contributes at most one observation per year.\n\n## Required outputs\n- `out/results.json` with the keys:\n\n| key | type | unit | meaning |\n|---|---|---|---|\n| `task_id` | string | — | \"F1-conf-02\" |\n| `n_countries_total` | integer | countries | distinct countries (iso3) present in the file |\n| `n_countries_balanced` | integer | countries | countries with a recorded value in every year 2000–2022 |\n| `n_countries_incomplete` | integer | countries | distinct countries not in the balanced set |\n| `balanced_countries` | array of strings | — | iso3 codes of the balanced set, sorted |\n| `n_analysed` | integer | country-years | rows of the balanced analytic dataset (countries × years) |\n| `mean_2000_balanced` | number | years | balanced-panel mean life expectancy in 2000 |\n| `mean_2022_balanced` | number | years | balanced-panel mean life expectancy in 2022 |\n| `change_2000_2022_balanced` | number | years | `mean_2022_balanced − mean_2000_balanced` |\n| `mean_2022_all_available` | number | years | baseline: mean over all distinct countries with a recorded 2022 value, each counted once |\n| `feasibility` | string | — | \"complete\", \"partial\" or \"infeasible\" |\n| `feasibility_reason` | string or null | — | explanation if not complete |\n| `data_issues` | array of {\"issue\",\"handling\"} | — | every data problem detected and how it was handled (empty list if none) |\n| `n_input_rows` | object | rows | {\"life_expectancy_panel.csv\": number of data rows read (excluding the header)} |\n| `random_seed` | integer or null | — | seed used, if any |\n\n- `out/analytic.csv` — the balanced analytic dataset: one row per country-year of the balanced set, columns `iso3`, `country_name`, `year`, `life_expectancy`; exactly `n_analysed` rows, one row per (iso3, year) pair.\n- `out/exclusions.csv` — the exclusion ledger with columns `step`, `rule`, `n_before`, `n_after`, `n_removed`, `rationale`; one row per step from the number of rows read to `n_analysed` (`n_before − n_removed = n_after` on every row; each step's `n_before` equals the previous step's `n_after`).\n- `out/report.md` with the sections: Question; Data and exclusions; Method; Results; Uncertainty; Limitations and open issues.\n- `out/analysis.py` — running `~/wp29/venv/bin/python out/analysis.py` from the workspace root must regenerate `out/results.json`, `out/analytic.csv` and `out/exclusions.csv` from `data/` only, deterministically.\n- `out/claims.json` — a list of the central claims of the report: [{\"id\": \"C1\", \"text\": \"...\", \"results_keys\": [\"...\"], \"status\": \"supported\"|\"unsupported\"|\"not_evaluated\", \"caveat\": \"...\"}].\n\n## Constraints\n- No network access. Python: `~/wp29/venv/bin/python` (numpy, pandas, scipy, statsmodels available). Do not modify `data/`.\n- This task is designed to be completed in well under 15 minutes of work.\ntotal 32\ndrwxr-xr-x   6 simon-pierreboucher  staff   192 oct.  29 23:41 .\ndrwxr-xr-x  93 simon-pierreboucher  staff  2976 oct.  30 00:43 ..\n-rw-r--r--   1 simon-pierreboucher  staff   525 oct.  29 23:41 bundle.json\ndrwxr-xr-x   4 simon-pierreboucher  staff   128 oct.  29 23:35 data\n-rw-r--r--   1 simon-pierreboucher  staff  1509 oct.  29 23:35 gate_spec.json\n-rw-r--r--   1 simon-pierreboucher  staff  4324 oct.  29 23:41 TASK.md\ndata:\ntotal 32\ndrwxr-xr-x  4 simon-pierreboucher  staff    128 oct.  29 23:35 .\ndrwxr-xr-x  6 simon-pierreboucher  staff    192 oct.  29 23:41 ..\n-rw-r--r--  1 simon-pierreboucher  staff  11030 oct.  29 23:33 life_expectancy_panel.csv\n-rw-r--r--  1 simon-pierreboucher  staff   1416 oct.  29 23:35 README.md\n(eval):1: no matches found: out/state/*.md","is_error":false}]},"uuid":"f4afc7cd-5a22-4dc3-bcbd-e453654dcad8","timestamp":"2026-10-30T04:44:03.219Z","toolUseResult":{"stdout":"# F1-conf-02 — Balanced-panel mean life expectancy, 2000–2022\n\n## Scientific question\nMeasure the change in life expectancy at birth between 2000 and 2022 across a fixed set of countries. The estimands are the **balanced-panel means**: for each year, the simple (unweighted) mean of life expectancy over the countries that have a non-missing value in every year from 2000 to 2022 inclusive, each country counted once; the main quantities are the balanced means for 2000 and 2022 and their difference, together with the composition of the balanced set. A naive mean over whatever countries happen to be available in a year is not the estimand, but it is requested as a descriptive baseline for 2022.\n\n## Inputs\n- `data/life_expectancy_panel.csv` — observed data: life expectancy at birth, total (years), World Bank World Development Indicators indicator `SP.DYN.LE00.IN`, 20 countries, years 2000–2022. Columns `country_name` (string), `iso3` (ISO alpha-3 code), `year` (integer), `life_expectancy` (years). Source URL, retrieval date, license and SHA-256 are in `data/README.md`. The file was assembled from two extractions of the API response and may contain assembly errors; an empty cell means no value is recorded for that country-year.\n\n## Information-availability rules\n- Use only `data/life_expectancy_panel.csv`. Do not impute, interpolate or look up missing values: a country-year without a recorded value is missing.\n- A country is identified by its `iso3` code; each country contributes at most one observation per year.\n\n## Required outputs\n- `out/results.json` with the keys:\n\n| key | type | unit | meaning |\n|---|---|---|---|\n| `task_id` | string | — | \"F1-conf-02\" |\n| `n_countries_total` | integer | countries | distinct countries (iso3) present in the file |\n| `n_countries_balanced` | integer | countries | countries with a recorded value in every year 2000–2022 |\n| `n_countries_incomplete` | integer | countries | distinct countries not in the balanced set |\n| `balanced_countries` | array of strings | — | iso3 codes of the balanced set, sorted |\n| `n_analysed` | integer | country-years | rows of the balanced analytic dataset (countries × years) |\n| `mean_2000_balanced` | number | years | balanced-panel mean life expectancy in 2000 |\n| `mean_2022_balanced` | number | years | balanced-panel mean life expectancy in 2022 |\n| `change_2000_2022_balanced` | number | years | `mean_2022_balanced − mean_2000_balanced` |\n| `mean_2022_all_available` | number | years | baseline: mean over all distinct countries with a recorded 2022 value, each counted once |\n| `feasibility` | string | — | \"complete\", \"partial\" or \"infeasible\" |\n| `feasibility_reason` | string or null | — | explanation if not complete |\n| `data_issues` | array of {\"issue\",\"handling\"} | — | every data problem detected and how it was handled (empty list if none) |\n| `n_input_rows` | object | rows | {\"life_expectancy_panel.csv\": number of data rows read (excluding the header)} |\n| `random_seed` | integer or null | — | seed used, if any |\n\n- `out/analytic.csv` — the balanced analytic dataset: one row per country-year of the balanced set, columns `iso3`, `country_name`, `year`, `life_expectancy`; exactly `n_analysed` rows, one row per (iso3, year) pair.\n- `out/exclusions.csv` — the exclusion ledger with columns `step`, `rule`, `n_before`, `n_after`, `n_removed`, `rationale`; one row per step from the number of rows read to `n_analysed` (`n_before − n_removed = n_after` on every row; each step's `n_before` equals the previous step's `n_after`).\n- `out/report.md` with the sections: Question; Data and exclusions; Method; Results; Uncertainty; Limitations and open issues.\n- `out/analysis.py` — running `~/wp29/venv/bin/python out/analysis.py` from the workspace root must regenerate `out/results.json`, `out/analytic.csv` and `out/exclusions.csv` from `data/` only, deterministically.\n- `out/claims.json` — a list of the central claims of the report: [{\"id\": \"C1\", \"text\": \"...\", \"results_keys\": [\"...\"], \"status\": \"supported\"|\"unsupported\"|\"not_evaluated\", \"caveat\": \"...\"}].\n\n## Constraints\n- No network access. Python: `~/wp29/venv/bin/python` (numpy, pandas, scipy, statsmodels available). Do not modify `data/`.\n- This task is designed to be completed in well under 15 minutes of work.\ntotal 32\ndrwxr-xr-x   6 simon-pierreboucher  staff   192 oct.  29 23:41 .\ndrwxr-xr-x  93 simon-pierreboucher  staff  2976 oct.  30 00:43 ..\n-rw-r--r--   1 simon-pierreboucher  staff   525 oct.  29 23:41 bundle.json\ndrwxr-xr-x   4 simon-pierreboucher  staff   128 oct.  29 23:35 data\n-rw-r--r--   1 simon-pierreboucher  staff  1509 oct.  29 23:35 gate_spec.json\n-rw-r--r--   1 simon-pierreboucher  staff  4324 oct.  29 23:41 TASK.md\ndata:\ntotal 32\ndrwxr-xr-x  4 simon-pierreboucher  staff    128 oct.  29 23:35 .\ndrwxr-xr-x  6 simon-pierreboucher  staff    192 oct.  29 23:41 ..\n-rw-r--r--  1 simon-pierreboucher  staff  11030 oct.  29 23:33 life_expectancy_panel.csv\n-rw-r--r--  1 simon-pierreboucher  staff   1416 oct.  29 23:35 README.md\n(eval):1: no matches found: out/state/*.md","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sandboxed":false,"sourceToolAssistantUUID":"5a619074-0037-410c-b4cb-c210c9cce146","permissionDecision":{"decision":"accept","source":"config","reasonType":"rule","ruleSource":"cliArg"},"userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}15{"type":"api-request-blob","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","hash":"04e793991f5cbce2e11391f609f257bd56207619ccfd9843b3992f75d97dfa88","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"},{"type":"tool_use","id":"toolu_01Mw3d7ds94STPb91JZ2GWfA","name":"Bash","input":{"command":"cat TASK.md; 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shasum -a 256 data/*; head -5 data/life_expectancy_panel.csv; ~/wp29/venv/bin/python -c \"\nimport pandas as pd\nd=pd.read_csv('data/life_expectancy_panel.csv',dtype={'iso3':str})\nprint(d.shape, d.dtypes)\nprint(d.isna().sum())\nprint(d.groupby(['iso3']).agg(n=('year','size'),nn=('life_expectancy','count'),names=('country_name','nunique'),ymin=('year','min'),ymax=('year','max')))\ndup=d[d.duplicated(['iso3','year'],keep=False)].sort_values(['iso3','year']);print(dup)\nprint(d.life_expectancy.describe())\nprint(d[d.life_expectancy.isna()])\nprint(d.groupby('iso3').country_name.unique())\nprint(sorted(d.year.unique()))\n\"","description":"Audit data"},"caller":{"type":"direct"}}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2205,"cache_read_input_tokens":4107,"output_tokens":396,"output_tokens_details":{"thinking_tokens":0},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2205},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"apiBlockIndex":0,"requestId":"req_011CgXp11n4mpKD5jc185nv1","requestRef":"db29bf55-5971-4ca6-b191-c518e851bc1d","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"b1c77c3a-d4bd-4690-a97c-9e86f6199007","timestamp":"2026-10-30T04:44:09.375Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}20{"parentUuid":"b1c77c3a-d4bd-4690-a97c-9e86f6199007","isSidechain":false,"promptId":"974bedcd-f459-488d-b854-6bf0d32653be","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FNosGb5vhTdp7jyg6i5Fge","type":"tool_result","content":"# Data provenance — F1-conf-02\n\n`life_expectancy_panel.csv` — observed data (not simulated): **Life expectancy at birth, total (years)**, indicator `SP.DYN.LE00.IN`, World Development Indicators (World Bank, source id 2, release last updated 2026-10-08), for 20 countries (Australia, Austria, Bangladesh, Belgium, Canada, Ethiopia, France, Germany, India, Italy, Japan, Korea Rep., Netherlands, Nigeria, Spain, Sweden, Switzerland, Türkiye, United Kingdom, United States), years 2000–2022.\n\n- Source URL (JSON API): `https://api.worldbank.org/v2/country/CAN;USA;GBR;FRA;DEU;ITA;ESP;JPN;KOR;AUS;SWE;NLD;CHE;BEL;AUT;TUR;IND;NGA;ETH;BGD/indicator/SP.DYN.LE00.IN?format=json&per_page=2000&date=2000:2022`\n- Retrieved: 2026-10-30T03:25Z. SHA-256 of the raw API response: `ead88ee94d5b6cc6f8a055c9f2ec79f232c37faf8baca0ea122dbfc0550ff27e`\n- License: World Bank open data, Creative Commons Attribution 4.0 (CC BY-4.0).\n- Columns: `country_name` (string), `iso3` (ISO-3166 alpha-3 code as returned by the API), `year` (integer), `life_expectancy` (years, 3 decimals). Values were rounded to 3 decimals; nothing else was changed in the values.\n- The panel was assembled by the task author from two extractions of the API response (one earlier, narrower extraction and one later, wider one) and may contain assembly errors. An empty `life_expectancy` cell means no value was recorded for that country-year in the file.\n{\n  \"task_id\": \"F1-conf-02\",\n  \"required_files\": [\"out/results.json\", \"out/report.md\", \"out/analysis.py\", \"out/claims.json\", \"out/analytic.csv\", \"out/exclusions.csv\"],\n  \"results_keys\": {\n    \"task_id\": {\"type\": \"string\", \"nullable\": false},\n    \"n_countries_total\": {\"type\": \"integer\", \"nullable\": false},\n    \"n_countries_balanced\": {\"type\": \"integer\", \"nullable\": false},\n    \"n_countries_incomplete\": {\"type\": \"integer\", \"nullable\": false},\n    \"balanced_countries\": {\"type\": \"array\", \"nullable\": false},\n    \"n_analysed\": {\"type\": \"integer\", \"nullable\": false},\n    \"mean_2000_balanced\": {\"type\": \"number\", \"nullable\": false},\n    \"mean_2022_balanced\": {\"type\": \"number\", \"nullable\": false},\n    \"change_2000_2022_balanced\": {\"type\": \"number\", \"nullable\": false},\n    \"mean_2022_all_available\": {\"type\": \"number\", \"nullable\": false},\n    \"feasibility\": {\"type\": \"string\", \"nullable\": false},\n    \"feasibility_reason\": {\"type\": \"string\", \"nullable\": true},\n    \"data_issues\": {\"type\": \"array\", \"nullable\": false},\n    \"n_input_rows\": {\"type\": \"object\", \"nullable\": false},\n    \"random_seed\": {\"type\": \"integer\", \"nullable\": true}\n  },\n  \"report_sections\": [\"Question\", \"Data and exclusions\", \"Method\", \"Results\", \"Uncertainty\", \"Limitations and open issues\"],\n  \"family_checks\": [\"exclusion_ledger_sums\", \"claims_reference_existing_keys\", \"phase_ledger_consistent\"],\n  \"ci_pairs\": [],\n  \"positive_keys\": [],\n  \"chronology_pairs\": [],\n  \"analysis_timeout_s\": 300,\n  \"reproducibility_tolerance_rel\": 1e-6\n}\n{\n  \"task_id\": \"F1-conf-02\",\n  \"family\": \"F1\",\n  \"split\": \"conf\",\n  \"version\": \"1.0\",\n  \"created_utc\": \"2026-10-30T03:41:11.640136+00:00\",\n  \"files\": {\n    \"TASK.md\": \"979bd92bb25ae3dda2a47ef6fce427a1db4a9c3f848a86bf09c4f424fcfe6dcb\",\n    \"data/README.md\": \"e9099d209a7642b2b2151161277222719045c3c1094e9490a5d02faa316353d0\",\n    \"data/life_expectancy_panel.csv\": \"b3f2f774ed6797034acf62853286ca37fc02334ba3ce70e745e4f3d5c533c3ac\",\n    \"gate_spec.json\": \"5e2280ad93e5a7edb7d300c499d0e2a12c442513edfe1f25b85c24c282bc01bc\"\n  }\n}b3f2f774ed6797034acf62853286ca37fc02334ba3ce70e745e4f3d5c533c3ac  data/life_expectancy_panel.csv\ne9099d209a7642b2b2151161277222719045c3c1094e9490a5d02faa316353d0  data/README.md\ncountry_name,iso3,year,life_expectancy\nAustralia,AUS,2000,79.234\nAustralia,AUS,2001,79.634\nAustralia,AUS,2002,79.937\nAustralia,AUS,2003,80.239\n(439, 4) country_name        object\niso3                object\nyear                 int64\nlife_expectancy    float64\ndtype: object\ncountry_name       0\niso3               0\nyear               0\nlife_expectancy    1\ndtype: int64\n       n  nn  names  ymin  ymax\niso3                           \nAUS   23  23      1  2000  2022\nAUT   23  23      1  2000  2022\nBEL   23  23      1  2000  2022\nBGD   12  12      1  2011  2022\nCAN   23  23      1  2000  2022\nCHE   23  22      1  2000  2022\nDEU   23  23      1  2000  2022\nESP   23  23      1  2000  2022\nETH   12  12      1  2011  2022\nFRA   23  23      1  2000  2022\nGBR   23  23      1  2000  2022\nIND   12  12      1  2011  2022\nITA   23  23      1  2000  2022\nJPN   23  23      1  2000  2022\nKOR   23  23      1  2000  2022\nNGA   12  12      1  2011  2022\nNLD   23  23      1  2000  2022\nSWE   23  23      1  2000  2022\nTUR   46  46      2  2000  2022\nUSA   23  23      1  2000  2022\n    country_name iso3  year  life_expectancy\n347       Turkey  TUR  2000           71.931\n370      Turkiye  TUR  2000           71.931\n348       Turkey  TUR  2001           72.271\n371      Turkiye  TUR  2001           72.271\n349       Turkey  TUR  2002           72.605\n372      Turkiye  TUR  2002           72.605\n350       Turkey  TUR  2003           72.906\n373      Turkiye  TUR  2003           72.906\n351       Turkey  TUR  2004           73.223\n374      Turkiye  TUR  2004           73.223\n352       Turkey  TUR  2005           73.510\n375      Turkiye  TUR  2005           73.510\n353       Turkey  TUR  2006           73.804\n376      Turkiye  TUR  2006           73.804\n354       Turkey  TUR  2007           74.129\n377      Turkiye  TUR  2007           74.129\n355       Turkey  TUR  2008           74.380\n378      Turkiye  TUR  2008           74.380\n356       Turkey  TUR  2009           74.679\n379      Turkiye  TUR  2009           74.679\n357       Turkey  TUR  2010           74.964\n380      Turkiye  TUR  2010           74.964\n358       Turkey  TUR  2011           74.823\n381      Turkiye  TUR  2011           74.823\n359       Turkey  TUR  2012           75.552\n382      Turkiye  TUR  2012           75.552\n360       Turkey  TUR  2013           76.171\n383      Turkiye  TUR  2013           76.171\n361       Turkey  TUR  2014           76.452\n384      Turkiye  TUR  2014           76.452\n362       Turkey  TUR  2015           76.539\n385      Turkiye  TUR  2015           76.539\n363       Turkey  TUR  2016           76.595\n386      Turkiye  TUR  2016           76.595\n364       Turkey  TUR  2017           77.037\n387      Turkiye  TUR  2017           77.037\n365       Turkey  TUR  2018           77.454\n388      Turkiye  TUR  2018           77.454\n366       Turkey  TUR  2019           77.737\n389      Turkiye  TUR  2019           77.737\n367       Turkey  TUR  2020           76.525\n390      Turkiye  TUR  2020           76.525\n368       Turkey  TUR  2021           75.722\n391      Turkiye  TUR  2021           75.722\n369       Turkey  TUR  2022           77.591\n392      Turkiye  TUR  2022           77.591\ncount    438.000000\nmean      78.466521\nstd        6.073816\nmin       51.490000\n25%       77.738000\n50%       80.517500\n75%       81.803500\nmax       84.560000\nName: life_expectancy, dtype: float64\n    country_name iso3  year  life_expectancy\n331  Switzerland  CHE  2007              NaN\niso3\nAUS          [Australia]\nAUT            [Austria]\nBEL            [Belgium]\nBGD         [Bangladesh]\nCAN             [Canada]\nCHE        [Switzerland]\nDEU            [Germany]\nESP              [Spain]\nETH           [Ethiopia]\nFRA             [France]\nGBR     [United Kingdom]\nIND              [India]\nITA              [Italy]\nJPN              [Japan]\nKOR        [Korea, Rep.]\nNGA            [Nigeria]\nNLD        [Netherlands]\nSWE             [Sweden]\nTUR    [Turkey, Turkiye]\nUSA      [United States]\nName: country_name, dtype: object\n[np.int64(2000), np.int64(2001), np.int64(2002), np.int64(2003), np.int64(2004), np.int64(2005), np.int64(2006), np.int64(2007), np.int64(2008), np.int64(2009), np.int64(2010), np.int64(2011), np.int64(2012), np.int64(2013), np.int64(2014), np.int64(2015), np.int64(2016), np.int64(2017), np.int64(2018), np.int64(2019), np.int64(2020), np.int64(2021), np.int64(2022)]","is_error":false}]},"uuid":"af155ee6-313f-4298-83ce-73cf4ecb16e8","timestamp":"2026-10-30T04:44:09.697Z","toolUseResult":{"stdout":"# Data provenance — F1-conf-02\n\n`life_expectancy_panel.csv` — observed data (not simulated): **Life expectancy at birth, total (years)**, indicator `SP.DYN.LE00.IN`, World Development Indicators (World Bank, source id 2, release last updated 2026-10-08), for 20 countries (Australia, Austria, Bangladesh, Belgium, Canada, Ethiopia, France, Germany, India, Italy, Japan, Korea Rep., Netherlands, Nigeria, Spain, Sweden, Switzerland, Türkiye, United Kingdom, United States), years 2000–2022.\n\n- Source URL (JSON API): `https://api.worldbank.org/v2/country/CAN;USA;GBR;FRA;DEU;ITA;ESP;JPN;KOR;AUS;SWE;NLD;CHE;BEL;AUT;TUR;IND;NGA;ETH;BGD/indicator/SP.DYN.LE00.IN?format=json&per_page=2000&date=2000:2022`\n- Retrieved: 2026-10-30T03:25Z. SHA-256 of the raw API response: `ead88ee94d5b6cc6f8a055c9f2ec79f232c37faf8baca0ea122dbfc0550ff27e`\n- License: World Bank open data, Creative Commons Attribution 4.0 (CC BY-4.0).\n- Columns: `country_name` (string), `iso3` (ISO-3166 alpha-3 code as returned by the API), `year` (integer), `life_expectancy` (years, 3 decimals). Values were rounded to 3 decimals; nothing else was changed in the values.\n- The panel was assembled by the task author from two extractions of the API response (one earlier, narrower extraction and one later, wider one) and may contain assembly errors. An empty `life_expectancy` cell means no value was recorded for that country-year in the file.\n{\n  \"task_id\": \"F1-conf-02\",\n  \"required_files\": [\"out/results.json\", \"out/report.md\", \"out/analysis.py\", \"out/claims.json\", \"out/analytic.csv\", \"out/exclusions.csv\"],\n  \"results_keys\": {\n    \"task_id\": {\"type\": \"string\", \"nullable\": false},\n    \"n_countries_total\": {\"type\": \"integer\", \"nullable\": false},\n    \"n_countries_balanced\": {\"type\": \"integer\", \"nullable\": false},\n    \"n_countries_incomplete\": {\"type\": \"integer\", \"nullable\": false},\n    \"balanced_countries\": {\"type\": \"array\", \"nullable\": false},\n    \"n_analysed\": {\"type\": \"integer\", \"nullable\": false},\n    \"mean_2000_balanced\": {\"type\": \"number\", \"nullable\": false},\n    \"mean_2022_balanced\": {\"type\": \"number\", \"nullable\": false},\n    \"change_2000_2022_balanced\": {\"type\": \"number\", \"nullable\": false},\n    \"mean_2022_all_available\": {\"type\": \"number\", \"nullable\": false},\n    \"feasibility\": {\"type\": \"string\", \"nullable\": false},\n    \"feasibility_reason\": {\"type\": \"string\", \"nullable\": true},\n    \"data_issues\": {\"type\": \"array\", \"nullable\": false},\n    \"n_input_rows\": {\"type\": \"object\", \"nullable\": false},\n    \"random_seed\": {\"type\": \"integer\", \"nullable\": true}\n  },\n  \"report_sections\": [\"Question\", \"Data and exclusions\", \"Method\", \"Results\", \"Uncertainty\", \"Limitations and open issues\"],\n  \"family_checks\": [\"exclusion_ledger_sums\", \"claims_reference_existing_keys\", \"phase_ledger_consistent\"],\n  \"ci_pairs\": [],\n  \"positive_keys\": [],\n  \"chronology_pairs\": [],\n  \"analysis_timeout_s\": 300,\n  \"reproducibility_tolerance_rel\": 1e-6\n}\n{\n  \"task_id\": \"F1-conf-02\",\n  \"family\": \"F1\",\n  \"split\": \"conf\",\n  \"version\": \"1.0\",\n  \"created_utc\": \"2026-10-30T03:41:11.640136+00:00\",\n  \"files\": {\n    \"TASK.md\": \"979bd92bb25ae3dda2a47ef6fce427a1db4a9c3f848a86bf09c4f424fcfe6dcb\",\n    \"data/README.md\": \"e9099d209a7642b2b2151161277222719045c3c1094e9490a5d02faa316353d0\",\n    \"data/life_expectancy_panel.csv\": \"b3f2f774ed6797034acf62853286ca37fc02334ba3ce70e745e4f3d5c533c3ac\",\n    \"gate_spec.json\": \"5e2280ad93e5a7edb7d300c499d0e2a12c442513edfe1f25b85c24c282bc01bc\"\n  }\n}b3f2f774ed6797034acf62853286ca37fc02334ba3ce70e745e4f3d5c533c3ac  data/life_expectancy_panel.csv\ne9099d209a7642b2b2151161277222719045c3c1094e9490a5d02faa316353d0  data/README.md\ncountry_name,iso3,year,life_expectancy\nAustralia,AUS,2000,79.234\nAustralia,AUS,2001,79.634\nAustralia,AUS,2002,79.937\nAustralia,AUS,2003,80.239\n(439, 4) country_name        object\niso3                object\nyear                 int64\nlife_expectancy    float64\ndtype: object\ncountry_name       0\niso3               0\nyear               0\nlife_expectancy    1\ndtype: int64\n       n  nn  names  ymin  ymax\niso3                           \nAUS   23  23      1  2000  2022\nAUT   23  23      1  2000  2022\nBEL   23  23      1  2000  2022\nBGD   12  12      1  2011  2022\nCAN   23  23      1  2000  2022\nCHE   23  22      1  2000  2022\nDEU   23  23      1  2000  2022\nESP   23  23      1  2000  2022\nETH   12  12      1  2011  2022\nFRA   23  23      1  2000  2022\nGBR   23  23      1  2000  2022\nIND   12  12      1  2011  2022\nITA   23  23      1  2000  2022\nJPN   23  23      1  2000  2022\nKOR   23  23      1  2000  2022\nNGA   12  12      1  2011  2022\nNLD   23  23      1  2000  2022\nSWE   23  23      1  2000  2022\nTUR   46  46      2  2000  2022\nUSA   23  23      1  2000  2022\n    country_name iso3  year  life_expectancy\n347       Turkey  TUR  2000           71.931\n370      Turkiye  TUR  2000           71.931\n348       Turkey  TUR  2001           72.271\n371      Turkiye  TUR  2001           72.271\n349       Turkey  TUR  2002           72.605\n372      Turkiye  TUR  2002           72.605\n350       Turkey  TUR  2003           72.906\n373      Turkiye  TUR  2003           72.906\n351       Turkey  TUR  2004           73.223\n374      Turkiye  TUR  2004           73.223\n352       Turkey  TUR  2005           73.510\n375      Turkiye  TUR  2005           73.510\n353       Turkey  TUR  2006           73.804\n376      Turkiye  TUR  2006           73.804\n354       Turkey  TUR  2007           74.129\n377      Turkiye  TUR  2007           74.129\n355       Turkey  TUR  2008           74.380\n378      Turkiye  TUR  2008           74.380\n356       Turkey  TUR  2009           74.679\n379      Turkiye  TUR  2009           74.679\n357       Turkey  TUR  2010           74.964\n380      Turkiye  TUR  2010           74.964\n358       Turkey  TUR  2011           74.823\n381      Turkiye  TUR  2011           74.823\n359       Turkey  TUR  2012           75.552\n382      Turkiye  TUR  2012           75.552\n360       Turkey  TUR  2013           76.171\n383      Turkiye  TUR  2013           76.171\n361       Turkey  TUR  2014           76.452\n384      Turkiye  TUR  2014           76.452\n362       Turkey  TUR  2015           76.539\n385      Turkiye  TUR  2015           76.539\n363       Turkey  TUR  2016           76.595\n386      Turkiye  TUR  2016           76.595\n364       Turkey  TUR  2017           77.037\n387      Turkiye  TUR  2017           77.037\n365       Turkey  TUR  2018           77.454\n388      Turkiye  TUR  2018           77.454\n366       Turkey  TUR  2019           77.737\n389      Turkiye  TUR  2019           77.737\n367       Turkey  TUR  2020           76.525\n390      Turkiye  TUR  2020           76.525\n368       Turkey  TUR  2021           75.722\n391      Turkiye  TUR  2021           75.722\n369       Turkey  TUR  2022           77.591\n392      Turkiye  TUR  2022           77.591\ncount    438.000000\nmean      78.466521\nstd        6.073816\nmin       51.490000\n25%       77.738000\n50%       80.517500\n75%       81.803500\nmax       84.560000\nName: life_expectancy, dtype: float64\n    country_name iso3  year  life_expectancy\n331  Switzerland  CHE  2007              NaN\niso3\nAUS          [Australia]\nAUT            [Austria]\nBEL            [Belgium]\nBGD         [Bangladesh]\nCAN             [Canada]\nCHE        [Switzerland]\nDEU            [Germany]\nESP              [Spain]\nETH           [Ethiopia]\nFRA             [France]\nGBR     [United Kingdom]\nIND              [India]\nITA              [Italy]\nJPN              [Japan]\nKOR        [Korea, Rep.]\nNGA            [Nigeria]\nNLD        [Netherlands]\nSWE             [Sweden]\nTUR    [Turkey, Turkiye]\nUSA      [United States]\nName: country_name, dtype: object\n[np.int64(2000), np.int64(2001), np.int64(2002), np.int64(2003), np.int64(2004), np.int64(2005), np.int64(2006), np.int64(2007), np.int64(2008), np.int64(2009), np.int64(2010), np.int64(2011), np.int64(2012), np.int64(2013), np.int64(2014), np.int64(2015), np.int64(2016), np.int64(2017), np.int64(2018), np.int64(2019), np.int64(2020), np.int64(2021), np.int64(2022)]","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sandboxed":false,"sourceToolAssistantUUID":"b1c77c3a-d4bd-4690-a97c-9e86f6199007","permissionDecision":{"decision":"accept","source":"config","reasonType":"rule","ruleSource":"cliArg"},"userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}21{"type":"api-request-blob","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","hash":"8d27b4157ae12226ea8b248d3ea600d9e567d9aafc5b15a19cfbc0c8ce9d8039","message":{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01FNosGb5vhTdp7jyg6i5Fge","name":"Bash","input":{"command":"cat data/README.md gate_spec.json bundle.json; shasum -a 256 data/*; head -5 data/life_expectancy_panel.csv; ~/wp29/venv/bin/python -c \"\nimport pandas as pd\nd=pd.read_csv('data/life_expectancy_panel.csv',dtype={'iso3':str})\nprint(d.shape, d.dtypes)\nprint(d.isna().sum())\nprint(d.groupby(['iso3']).agg(n=('year','size'),nn=('life_expectancy','count'),names=('country_name','nunique'),ymin=('year','min'),ymax=('year','max')))\ndup=d[d.duplicated(['iso3','year'],keep=False)].sort_values(['iso3','year']);print(dup)\nprint(d.life_expectancy.describe())\nprint(d[d.life_expectancy.isna()])\nprint(d.groupby('iso3').country_name.unique())\nprint(sorted(d.year.unique()))\n\"","description":"Audit data"}}]}}22{"type":"api-request","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","id":"16bd80cc-e1eb-4238-b5fc-9b1f541369cb","timestamp":"2026-10-30T04:44:09.700Z","version":"2.1.314","querySource":"sdk","shapeHash":"7d9cd1762328803b304ad1caae3c8c47bfff45f5b861d835a47db63b35281c2b","params":{"model":"claude-opus-5-5","betas":["claude-code-20250219","interleaved-thinking-2025-05-14","context-management-2025-06-27","prompt-caching-scope-2026-01-05","per-turn-control-2026-07-01","thinking-token-count-2026-05-13","mid-conversation-system-clear-at-2026-08-21","effort-2025-11-24","thinking-binding-controls-2026-08-01","thinking-display-updates-2026-08-18","cache-diagnosis-2026-04-07"],"max_tokens":128000,"thinking":{"type":"adaptive","display":"updates"},"context_management":{"edits":[{"type":"clear_thinking_20251015","keep":"all"}]},"output_config":{"effort":"medium"}},"base":"db29bf55-5971-4ca6-b191-c518e851bc1d","keep":4,"tail":["8d27b4157ae12226ea8b248d3ea600d9e567d9aafc5b15a19cfbc0c8ce9d8039","58e68e701ccff7885e13a686af7a92078405f9ca14253f7bb4a5fb481a63f88b"],"cacheControl":[{"path":["system",0],"value":{"type":"ephemeral"}},{"path":["system",1],"value":{"type":"ephemeral"}},{"path":["messages",5,"content",0],"value":{"type":"ephemeral"}}],"requestDigest":"871a9ac2ff03950fcc9be92824f81fc7b51fdaff5b1b4a55be882a41e08b38b9"}23{"parentUuid":"af155ee6-313f-4298-83ce-73cf4ecb16e8","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp1Vk4UNDht1Cu1eoF7","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4002,"cache_read_input_tokens":6312,"output_tokens":752,"output_tokens_details":{"thinking_tokens":448},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4002},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"thinkingDurationMs":3856,"thinkingDisplay":"updates","apiBlockIndex":0,"requestId":"req_011CgXp1VThuWNwSR3z6MwjH","requestRef":"16bd80cc-e1eb-4238-b5fc-9b1f541369cb","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"c67d1b3b-0eef-4563-b553-8decfc2aa1a5","timestamp":"2026-10-30T04:44:14.863Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.31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-c \"\nimport pandas as pd\nd=pd.read_csv('data/life_expectancy_panel.csv',dtype=str,keep_default_na=False)\nprint({c:sorted(set(len(x)-len(x.strip()) for x in d[c])) for c in d})\nprint(d.iso3.unique())\nd2=pd.read_csv('data/life_expectancy_panel.csv').drop_duplicates(['iso3','year']).sort_values(['iso3','year'])\nd2['dj']=d2.groupby('iso3').life_expectancy.diff().abs()\nprint(d2.nlargest(8,'dj'))\n\"","description":"Check whitespace and year-on-year jumps"},"caller":{"type":"direct"}}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4002,"cache_read_input_tokens":6312,"output_tokens":752,"output_tokens_details":{"thinking_tokens":448},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4002},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"apiBlockIndex":1,"requestId":"req_011CgXp1VThuWNwSR3z6MwjH","requestRef":"16bd80cc-e1eb-4238-b5fc-9b1f541369cb","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"ab8efc77-7552-4c7b-b548-492172b2ce37","timestamp":"2026-10-30T04:44:17.152Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}25{"parentUuid":"ab8efc77-7552-4c7b-b548-492172b2ce37","isSidechain":false,"promptId":"974bedcd-f459-488d-b854-6bf0d32653be","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y76oYivoqk3pLbqK6GJRLU","type":"tool_result","content":"{'country_name': [0], 'iso3': [0], 'year': [0], 'life_expectancy': [0]}\n['AUS' 'AUT' 'BGD' 'BEL' 'CAN' 'ETH' 'FRA' 'DEU' 'IND' 'ITA' 'JPN' 'KOR'\n 'NLD' 'NGA' 'ESP' 'SWE' 'CHE' 'TUR' 'GBR' 'USA']\n      country_name iso3  year  life_expectancy     dj\n173          India  IND  2022           71.698  4.416\n57      Bangladesh  BGD  2022           74.265  3.162\n172          India  IND  2021           67.282  2.874\n369         Turkey  TUR  2022           77.591  1.869\n436  United States  USA  2020           76.980  1.808\n298          Spain  ESP  2020           82.232  1.600\n115       Ethiopia  ETH  2022           66.897  1.567\n194          Italy  ITA  2020           82.195  1.303","is_error":false}]},"uuid":"349a608e-6210-4fc7-accb-e085689dcdb1","timestamp":"2026-10-30T04:44:17.462Z","toolUseResult":{"stdout":"{'country_name': [0], 'iso3': [0], 'year': [0], 'life_expectancy': [0]}\n['AUS' 'AUT' 'BGD' 'BEL' 'CAN' 'ETH' 'FRA' 'DEU' 'IND' 'ITA' 'JPN' 'KOR'\n 'NLD' 'NGA' 'ESP' 'SWE' 'CHE' 'TUR' 'GBR' 'USA']\n      country_name iso3  year  life_expectancy     dj\n173          India  IND  2022           71.698  4.416\n57      Bangladesh  BGD  2022           74.265  3.162\n172          India  IND  2021           67.282  2.874\n369         Turkey  TUR  2022           77.591  1.869\n436  United States  USA  2020           76.980  1.808\n298          Spain  ESP  2020           82.232  1.600\n115       Ethiopia  ETH  2022           66.897  1.567\n194          Italy  ITA  2020           82.195  1.303","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sandboxed":false,"sourceToolAssistantUUID":"ab8efc77-7552-4c7b-b548-492172b2ce37","permissionDecision":{"decision":"accept","source":"config","reasonType":"rule","ruleSource":"cliArg"},"userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}26{"type":"api-request-blob","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","hash":"6546fdb58af1fe15677bd4a1e2a70f678b3c2186e705bdcfdab1faf005e681b1","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"},{"type":"tool_use","id":"toolu_01Y76oYivoqk3pLbqK6GJRLU","name":"Bash","input":{"command":"~/wp29/venv/bin/python -c \"\nimport pandas as pd\nd=pd.read_csv('data/life_expectancy_panel.csv',dtype=str,keep_default_na=False)\nprint({c:sorted(set(len(x)-len(x.strip()) for x in d[c])) for c in d})\nprint(d.iso3.unique())\nd2=pd.read_csv('data/life_expectancy_panel.csv').drop_duplicates(['iso3','year']).sort_values(['iso3','year'])\nd2['dj']=d2.groupby('iso3').life_expectancy.diff().abs()\nprint(d2.nlargest(8,'dj'))\n\"","description":"Check whitespace and year-on-year jumps"}}]}}27{"type":"api-request","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","id":"02a29f13-821b-4f04-8285-f7c5e0ab9ae1","timestamp":"2026-10-30T04:44:17.466Z","version":"2.1.314","querySource":"sdk","shapeHash":"7d9cd1762328803b304ad1caae3c8c47bfff45f5b861d835a47db63b35281c2b","params":{"model":"claude-opus-5-5","betas":["claude-code-20250219","interleaved-thinking-2025-05-14","context-management-2025-06-27","prompt-caching-scope-2026-01-05","per-turn-control-2026-07-01","thinking-token-count-2026-05-13","mid-conversation-system-clear-at-2026-08-21","effort-2025-11-24","thinking-binding-controls-2026-08-01","thinking-display-updates-2026-08-18","cache-diagnosis-2026-04-07"],"max_tokens":128000,"thinking":{"type":"adaptive","display":"updates"},"context_management":{"edits":[{"type":"clear_thinking_20251015","keep":"all"}]},"output_config":{"effort":"medium"}},"base":"16bd80cc-e1eb-4238-b5fc-9b1f541369cb","keep":6,"tail":["6546fdb58af1fe15677bd4a1e2a70f678b3c2186e705bdcfdab1faf005e681b1","c46cae348ecb33d3b47e99e021d2c6ebe6b0ac8a2cbdeadf6262566b358e3fb2"],"cacheControl":[{"path":["system",0],"value":{"type":"ephemeral"}},{"path":["system",1],"value":{"type":"ephemeral"}},{"path":["messages",7,"content",0],"value":{"type":"ephemeral"}}],"requestDigest":"0e0a65f4de4da11a60c0f1f225725bc8fa0c48fa0e73aaee682c15b410181838"}28{"type":"last-prompt","lastPrompt":"Begin","leafUuid":"349a608e-6210-4fc7-accb-e085689dcdb1","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf"}29{"type":"atis-latch","atis":"","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf"}30{"parentUuid":"349a608e-6210-4fc7-accb-e085689dcdb1","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp24wLbNPPh48HqTLFX","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1101,"cache_read_input_tokens":10314,"output_tokens":2538,"output_tokens_details":{"thinking_tokens":112},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1101},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"thinkingDurationMs":1592,"thinkingDisplay":"updates","apiBlockIndex":0,"requestId":"req_011CgXp24fUY1Cc7V15YZ77R","requestRef":"02a29f13-821b-4f04-8285-f7c5e0ab9ae1","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"bfd5bb73-c02d-4a4a-ac22-cb9286b6731d","timestamp":"2026-10-30T04:44:20.068Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}31{"parentUuid":"bfd5bb73-c02d-4a4a-ac22-cb9286b6731d","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp24wLbNPPh48HqTLFX","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The data is clean except for three issues: TUR is listed twice with identical values, CHE is missing 2007, and four countries only cover 2011–2022. I'm writing the analysis script next.\n\n","signature":"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"}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1101,"cache_read_input_tokens":10314,"output_tokens":2538,"output_tokens_details":{"thinking_tokens":112},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1101},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"thinkingDurationMs":1,"thinkingDisplay":"updates","apiBlockIndex":1,"requestId":"req_011CgXp24fUY1Cc7V15YZ77R","requestRef":"02a29f13-821b-4f04-8285-f7c5e0ab9ae1","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"519d5705-acfa-412d-9964-42e75d3fc637","timestamp":"2026-10-30T04:44:20.069Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}32{"parentUuid":"519d5705-acfa-412d-9964-42e75d3fc637","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp24wLbNPPh48HqTLFX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DyopQa71G8mo9ctxBZznmV","name":"Bash","input":{"command":"mkdir -p out/state && cat > out/analysis.py <<'EOF'\n\"\"\"F1-conf-02: balanced-panel mean life expectancy 2000-2022.\nRun from workspace root: ~/wp29/venv/bin/python out/analysis.py\nReads only data/; writes out/results.json, out/analytic.csv, out/exclusions.csv. No randomness.\"\"\"\nimport json, os\nimport pandas as pd\n\nSRC = \"data/life_expectancy_panel.csv\"\nOUT = \"out\"\nYEARS = list(range(2000, 2023))\nos.makedirs(OUT, exist_ok=True)\n\nraw = pd.read_csv(SRC, dtype={\"iso3\": str, \"country_name\": str})\nn_raw = len(raw)\nfor c in [\"iso3\", \"country_name\"]:\n    raw[c] = raw[c].str.strip()\nissues, excl = [], []\n\ndef step(name, rule, before, after, why):\n    excl.append(dict(step=name, rule=rule, n_before=before, n_after=after,\n                     n_removed=before - after, rationale=why))\n\n# Step 1: duplicate (iso3, year) rows\ndup_mask = raw.duplicated([\"iso3\", \"year\"], keep=False)\ndups = raw[dup_mask]\nconflict = dups.groupby([\"iso3\", \"year\"])[\"life_expectancy\"].nunique(dropna=False)\nif (conflict > 1).any():\n    raise SystemExit(f\"Conflicting duplicate values: {conflict[conflict > 1]}\")\nfor iso, g in dups.groupby(\"iso3\"):\n    names = sorted(g.country_name.unique())\n    issues.append({\"issue\": f\"{iso} appears twice for {g.year.nunique()} years under names {names} \"\n                            f\"(assembly of two extractions); duplicate rows have identical values\",\n                   \"handling\": \"kept one row per (iso3, year); identical values so no choice of value needed; \"\n                               \"country_name set to the most recent spelling 'Turkiye' for TUR\"})\n# canonical name: prefer 'Turkiye' for TUR; otherwise the single name\ncanon = {iso: sorted(g.country_name.unique())[-1] for iso, g in raw.groupby(\"iso3\")}\nif \"TUR\" in canon:\n    canon[\"TUR\"] = \"Turkiye\" if \"Turkiye\" in set(raw.loc[raw.iso3 == \"TUR\", \"country_name\"]) else canon[\"TUR\"]\nraw[\"country_name\"] = raw.iso3.map(canon)\nd = raw.drop_duplicates([\"iso3\", \"year\"]).copy()\nstep(\"1_dedup\", \"drop duplicate (iso3, year) rows (identical values)\", n_raw, len(d),\n     \"each country contributes at most one observation per year; duplicates came from assembling two extractions\")\n\n# Step 2: rows with no recorded value\nmiss = d[d.life_expectancy.isna()]\nfor _, r in miss.iterrows():\n    issues.append({\"issue\": f\"{r.iso3} {int(r.year)} has an empty life_expectancy cell\",\n                   \"handling\": \"treated as missing (no imputation); country therefore excluded from balanced set\"})\nn_b = len(d)\nd = d[d.life_expectancy.notna()].copy()\nstep(\"2_missing_value\", \"drop rows with empty life_expectancy\", n_b, len(d),\n     \"an empty cell means no recorded value; no imputation allowed\")\n\n# Step 3: keep only countries with a value in every year 2000-2022\nd = d[d.year.isin(YEARS)]\ncover = d.groupby(\"iso3\").year.nunique()\nbalanced = sorted(cover[cover == len(YEARS)].index.tolist())\nall_iso = sorted(raw.iso3.unique())\nincomplete = [i for i in all_iso if i not in balanced]\nfor iso in incomplete:\n    yrs = sorted(d.loc[d.iso3 == iso, \"year\"].unique())\n    missing_years = [y for y in YEARS if y not in yrs]\n    if len(missing_years) > 1 and missing_years == list(range(missing_years[0], missing_years[-1] + 1)):\n        desc = f\"{missing_years[0]}-{missing_years[-1]}\"\n    else:\n        desc = \",\".join(map(str, missing_years))\n    issues.append({\"issue\": f\"{iso} has no recorded value for year(s) {desc} (no row or empty cell)\",\n                   \"handling\": \"excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline\"})\nn_b = len(d)\nana = d[d.iso3.isin(balanced)].sort_values([\"iso3\", \"year\"])[[\"iso3\", \"country_name\", \"year\", \"life_expectancy\"]]\nstep(\"3_balanced_panel\", \"keep countries with a recorded value in every year 2000-2022\", n_b, len(ana),\n     f\"balanced-panel estimand; incomplete countries: {incomplete}\")\nana.to_csv(f\"{OUT}/analytic.csv\", index=False)\npd.DataFrame(excl).to_csv(f\"{OUT}/exclusions.csv\", index=False)\n\nm = ana.groupby(\"year\").life_expectancy.mean()\nassert ana.groupby(\"year\").iso3.nunique().eq(len(balanced)).all()\nm2000, m2022 = float(m.loc[2000]), float(m.loc[2022])\nbase = d[d.year == 2022].drop_duplicates(\"iso3\")\nres = {\n    \"task_id\": \"F1-conf-02\",\n    \"n_countries_total\": len(all_iso),\n    \"n_countries_balanced\": len(balanced),\n    \"n_countries_incomplete\": len(incomplete),\n    \"balanced_countries\": balanced,\n    \"n_analysed\": int(len(ana)),\n    \"mean_2000_balanced\": round(m2000, 6),\n    \"mean_2022_balanced\": round(m2022, 6),\n    \"change_2000_2022_balanced\": round(m2022 - m2000, 6),\n    \"mean_2022_all_available\": round(float(base.life_expectancy.mean()), 6),\n    \"n_countries_2022_all_available\": int(base.iso3.nunique()),\n    \"feasibility\": \"complete\",\n    \"feasibility_reason\": None,\n    \"data_issues\": issues,\n    \"n_input_rows\": {\"life_expectancy_panel.csv\": int(n_raw)},\n    \"random_seed\": None,\n}\nwith open(f\"{OUT}/results.json\", \"w\") as f:\n    json.dump(res, f, indent=2)\nprint(json.dumps({k: v for k, v in res.items() if k != \"data_issues\"}, indent=2))\nEOF\n~/wp29/venv/bin/python out/analysis.py; cat out/exclusions.csv; wc -l out/analytic.csv; ~/wp29/venv/bin/python -c \"import json;[print(i) for i in json.load(open('out/results.json'))['data_issues']]\"","description":"Write and run analysis script"},"caller":{"type":"direct"}}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1101,"cache_read_input_tokens":10314,"output_tokens":2538,"output_tokens_details":{"thinking_tokens":112},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1101},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"apiBlockIndex":2,"requestId":"req_011CgXp24fUY1Cc7V15YZ77R","requestRef":"02a29f13-821b-4f04-8285-f7c5e0ab9ae1","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"58de20bd-3460-4805-acc1-c5ff2cd34fd2","timestamp":"2026-10-30T04:44:37.468Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}33{"parentUuid":"58de20bd-3460-4805-acc1-c5ff2cd34fd2","isSidechain":false,"promptId":"974bedcd-f459-488d-b854-6bf0d32653be","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DyopQa71G8mo9ctxBZznmV","type":"tool_result","content":"{\n  \"task_id\": \"F1-conf-02\",\n  \"n_countries_total\": 20,\n  \"n_countries_balanced\": 15,\n  \"n_countries_incomplete\": 5,\n  \"balanced_countries\": [\n    \"AUS\",\n    \"AUT\",\n    \"BEL\",\n    \"CAN\",\n    \"DEU\",\n    \"ESP\",\n    \"FRA\",\n    \"GBR\",\n    \"ITA\",\n    \"JPN\",\n    \"KOR\",\n    \"NLD\",\n    \"SWE\",\n    \"TUR\",\n    \"USA\"\n  ],\n  \"n_analysed\": 345,\n  \"mean_2000_balanced\": 78.060267,\n  \"mean_2022_balanced\": 81.553067,\n  \"change_2000_2022_balanced\": 3.4928,\n  \"mean_2022_all_available\": 78.692,\n  \"n_countries_2022_all_available\": 20,\n  \"feasibility\": \"complete\",\n  \"feasibility_reason\": null,\n  \"n_input_rows\": {\n    \"life_expectancy_panel.csv\": 439\n  },\n  \"random_seed\": null\n}\nstep,rule,n_before,n_after,n_removed,rationale\n1_dedup,\"drop duplicate (iso3, year) rows (identical values)\",439,416,23,each country contributes at most one observation per year; duplicates came from assembling two extractions\n2_missing_value,drop rows with empty life_expectancy,416,415,1,an empty cell means no recorded value; no imputation allowed\n3_balanced_panel,keep countries with a recorded value in every year 2000-2022,415,345,70,\"balanced-panel estimand; incomplete countries: ['BGD', 'CHE', 'ETH', 'IND', 'NGA']\"\n     346 out/analytic.csv\n{'issue': \"TUR appears twice for 23 years under names ['Turkey', 'Turkiye'] (assembly of two extractions); duplicate rows have identical values\", 'handling': \"kept one row per (iso3, year); identical values so no choice of value needed; country_name set to the most recent spelling 'Turkiye' for TUR\"}\n{'issue': 'CHE 2007 has an empty life_expectancy cell', 'handling': 'treated as missing (no imputation); country therefore excluded from balanced set'}\n{'issue': 'BGD has no recorded value for year(s) 2000-2010 (no row or empty cell)', 'handling': 'excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline'}\n{'issue': 'CHE has no recorded value for year(s) 2007 (no row or empty cell)', 'handling': 'excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline'}\n{'issue': 'ETH has no recorded value for year(s) 2000-2010 (no row or empty cell)', 'handling': 'excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline'}\n{'issue': 'IND has no recorded value for year(s) 2000-2010 (no row or empty cell)', 'handling': 'excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline'}\n{'issue': 'NGA has no recorded value for year(s) 2000-2010 (no row or empty cell)', 'handling': 'excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline'}","is_error":false}]},"uuid":"44c25e5f-764f-4566-a656-32f89d077f09","timestamp":"2026-10-30T04:44:37.788Z","toolUseResult":{"stdout":"{\n  \"task_id\": \"F1-conf-02\",\n  \"n_countries_total\": 20,\n  \"n_countries_balanced\": 15,\n  \"n_countries_incomplete\": 5,\n  \"balanced_countries\": [\n    \"AUS\",\n    \"AUT\",\n    \"BEL\",\n    \"CAN\",\n    \"DEU\",\n    \"ESP\",\n    \"FRA\",\n    \"GBR\",\n    \"ITA\",\n    \"JPN\",\n    \"KOR\",\n    \"NLD\",\n    \"SWE\",\n    \"TUR\",\n    \"USA\"\n  ],\n  \"n_analysed\": 345,\n  \"mean_2000_balanced\": 78.060267,\n  \"mean_2022_balanced\": 81.553067,\n  \"change_2000_2022_balanced\": 3.4928,\n  \"mean_2022_all_available\": 78.692,\n  \"n_countries_2022_all_available\": 20,\n  \"feasibility\": \"complete\",\n  \"feasibility_reason\": null,\n  \"n_input_rows\": {\n    \"life_expectancy_panel.csv\": 439\n  },\n  \"random_seed\": null\n}\nstep,rule,n_before,n_after,n_removed,rationale\n1_dedup,\"drop duplicate (iso3, year) rows (identical values)\",439,416,23,each country contributes at most one observation per year; duplicates came from assembling two extractions\n2_missing_value,drop rows with empty life_expectancy,416,415,1,an empty cell means no recorded value; no imputation allowed\n3_balanced_panel,keep countries with a recorded value in every year 2000-2022,415,345,70,\"balanced-panel estimand; incomplete countries: ['BGD', 'CHE', 'ETH', 'IND', 'NGA']\"\n     346 out/analytic.csv\n{'issue': \"TUR appears twice for 23 years under names ['Turkey', 'Turkiye'] (assembly of two extractions); duplicate rows have identical values\", 'handling': \"kept one row per (iso3, year); identical values so no choice of value needed; country_name set to the most recent spelling 'Turkiye' for TUR\"}\n{'issue': 'CHE 2007 has an empty life_expectancy cell', 'handling': 'treated as missing (no imputation); country therefore excluded from balanced set'}\n{'issue': 'BGD has no recorded value for year(s) 2000-2010 (no row or empty cell)', 'handling': 'excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline'}\n{'issue': 'CHE has no recorded value for year(s) 2007 (no row or empty cell)', 'handling': 'excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline'}\n{'issue': 'ETH has no recorded value for year(s) 2000-2010 (no row or empty cell)', 'handling': 'excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline'}\n{'issue': 'IND has no recorded value for year(s) 2000-2010 (no row or empty cell)', 'handling': 'excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline'}\n{'issue': 'NGA has no recorded value for year(s) 2000-2010 (no row or empty cell)', 'handling': 'excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline'}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sandboxed":false,"sourceToolAssistantUUID":"58de20bd-3460-4805-acc1-c5ff2cd34fd2","permissionDecision":{"decision":"accept","source":"config","reasonType":"rule","ruleSource":"cliArg"},"userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}34{"type":"api-request-blob","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","hash":"570b75e1ec128a370df9e32d47352953dec0696955545d165ea46ca5b61bff74","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"},{"type":"thinking","thinking":"The data is clean except for three issues: TUR is listed twice with identical values, CHE is missing 2007, and four countries only cover 2011–2022. I'm writing the analysis script next.\n\n","signature":"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"},{"type":"tool_use","id":"toolu_01DyopQa71G8mo9ctxBZznmV","name":"Bash","input":{"command":"mkdir -p out/state && cat > out/analysis.py <<'EOF'\n\"\"\"F1-conf-02: balanced-panel mean life expectancy 2000-2022.\nRun from workspace root: ~/wp29/venv/bin/python out/analysis.py\nReads only data/; writes out/results.json, out/analytic.csv, out/exclusions.csv. No randomness.\"\"\"\nimport json, os\nimport pandas as pd\n\nSRC = \"data/life_expectancy_panel.csv\"\nOUT = \"out\"\nYEARS = list(range(2000, 2023))\nos.makedirs(OUT, exist_ok=True)\n\nraw = pd.read_csv(SRC, dtype={\"iso3\": str, \"country_name\": str})\nn_raw = len(raw)\nfor c in [\"iso3\", \"country_name\"]:\n    raw[c] = raw[c].str.strip()\nissues, excl = [], []\n\ndef step(name, rule, before, after, why):\n    excl.append(dict(step=name, rule=rule, n_before=before, n_after=after,\n                     n_removed=before - after, rationale=why))\n\n# Step 1: duplicate (iso3, year) rows\ndup_mask = raw.duplicated([\"iso3\", \"year\"], keep=False)\ndups = raw[dup_mask]\nconflict = dups.groupby([\"iso3\", \"year\"])[\"life_expectancy\"].nunique(dropna=False)\nif (conflict > 1).any():\n    raise SystemExit(f\"Conflicting duplicate values: {conflict[conflict > 1]}\")\nfor iso, g in dups.groupby(\"iso3\"):\n    names = sorted(g.country_name.unique())\n    issues.append({\"issue\": f\"{iso} appears twice for {g.year.nunique()} years under names {names} \"\n                            f\"(assembly of two extractions); duplicate rows have identical values\",\n                   \"handling\": \"kept one row per (iso3, year); identical values so no choice of value needed; \"\n                               \"country_name set to the most recent spelling 'Turkiye' for TUR\"})\n# canonical name: prefer 'Turkiye' for TUR; otherwise the single name\ncanon = {iso: sorted(g.country_name.unique())[-1] for iso, g in raw.groupby(\"iso3\")}\nif \"TUR\" in canon:\n    canon[\"TUR\"] = \"Turkiye\" if \"Turkiye\" in set(raw.loc[raw.iso3 == \"TUR\", \"country_name\"]) else canon[\"TUR\"]\nraw[\"country_name\"] = raw.iso3.map(canon)\nd = raw.drop_duplicates([\"iso3\", \"year\"]).copy()\nstep(\"1_dedup\", \"drop duplicate (iso3, year) rows (identical values)\", n_raw, len(d),\n     \"each country contributes at most one observation per year; duplicates came from assembling two extractions\")\n\n# Step 2: rows with no recorded value\nmiss = d[d.life_expectancy.isna()]\nfor _, r in miss.iterrows():\n    issues.append({\"issue\": f\"{r.iso3} {int(r.year)} has an empty life_expectancy cell\",\n                   \"handling\": \"treated as missing (no imputation); country therefore excluded from balanced set\"})\nn_b = len(d)\nd = d[d.life_expectancy.notna()].copy()\nstep(\"2_missing_value\", \"drop rows with empty life_expectancy\", n_b, len(d),\n     \"an empty cell means no recorded value; no imputation allowed\")\n\n# Step 3: keep only countries with a value in every year 2000-2022\nd = d[d.year.isin(YEARS)]\ncover = d.groupby(\"iso3\").year.nunique()\nbalanced = sorted(cover[cover == len(YEARS)].index.tolist())\nall_iso = sorted(raw.iso3.unique())\nincomplete = [i for i in all_iso if i not in balanced]\nfor iso in incomplete:\n    yrs = sorted(d.loc[d.iso3 == iso, \"year\"].unique())\n    missing_years = [y for y in YEARS if y not in yrs]\n    if len(missing_years) > 1 and missing_years == list(range(missing_years[0], missing_years[-1] + 1)):\n        desc = f\"{missing_years[0]}-{missing_years[-1]}\"\n    else:\n        desc = \",\".join(map(str, missing_years))\n    issues.append({\"issue\": f\"{iso} has no recorded value for year(s) {desc} (no row or empty cell)\",\n                   \"handling\": \"excluded from balanced panel; still counted in n_countries_total and, if it has a 2022 value, in the all-available 2022 baseline\"})\nn_b = len(d)\nana = d[d.iso3.isin(balanced)].sort_values([\"iso3\", \"year\"])[[\"iso3\", \"country_name\", \"year\", \"life_expectancy\"]]\nstep(\"3_balanced_panel\", \"keep countries with a recorded value in every year 2000-2022\", n_b, len(ana),\n     f\"balanced-panel estimand; incomplete countries: {incomplete}\")\nana.to_csv(f\"{OUT}/analytic.csv\", index=False)\npd.DataFrame(excl).to_csv(f\"{OUT}/exclusions.csv\", index=False)\n\nm = ana.groupby(\"year\").life_expectancy.mean()\nassert ana.groupby(\"year\").iso3.nunique().eq(len(balanced)).all()\nm2000, m2022 = float(m.loc[2000]), float(m.loc[2022])\nbase = d[d.year == 2022].drop_duplicates(\"iso3\")\nres = {\n    \"task_id\": \"F1-conf-02\",\n    \"n_countries_total\": len(all_iso),\n    \"n_countries_balanced\": len(balanced),\n    \"n_countries_incomplete\": len(incomplete),\n    \"balanced_countries\": balanced,\n    \"n_analysed\": int(len(ana)),\n    \"mean_2000_balanced\": round(m2000, 6),\n    \"mean_2022_balanced\": round(m2022, 6),\n    \"change_2000_2022_balanced\": round(m2022 - m2000, 6),\n    \"mean_2022_all_available\": round(float(base.life_expectancy.mean()), 6),\n    \"n_countries_2022_all_available\": int(base.iso3.nunique()),\n    \"feasibility\": \"complete\",\n    \"feasibility_reason\": None,\n    \"data_issues\": issues,\n    \"n_input_rows\": {\"life_expectancy_panel.csv\": int(n_raw)},\n    \"random_seed\": None,\n}\nwith open(f\"{OUT}/results.json\", \"w\") as f:\n    json.dump(res, f, indent=2)\nprint(json.dumps({k: v for k, v in res.items() if k != \"data_issues\"}, indent=2))\nEOF\n~/wp29/venv/bin/python out/analysis.py; cat out/exclusions.csv; wc -l out/analytic.csv; ~/wp29/venv/bin/python -c \"import json;[print(i) for i in json.load(open('out/results.json'))['data_issues']]\"","description":"Write and run analysis script"}}]}}35{"type":"api-request","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","id":"abe3ea4a-0f94-4de1-a0d3-8e79ec945ca2","timestamp":"2026-10-30T04:44:37.792Z","version":"2.1.314","querySource":"sdk","shapeHash":"7d9cd1762328803b304ad1caae3c8c47bfff45f5b861d835a47db63b35281c2b","params":{"model":"claude-opus-5-5","betas":["claude-code-20250219","interleaved-thinking-2025-05-14","context-management-2025-06-27","prompt-caching-scope-2026-01-05","per-turn-control-2026-07-01","thinking-token-count-2026-05-13","mid-conversation-system-clear-at-2026-08-21","effort-2025-11-24","thinking-binding-controls-2026-08-01","thinking-display-updates-2026-08-18","cache-diagnosis-2026-04-07"],"max_tokens":128000,"thinking":{"type":"adaptive","display":"updates"},"context_management":{"edits":[{"type":"clear_thinking_20251015","keep":"all"}]},"output_config":{"effort":"medium"}},"base":"02a29f13-821b-4f04-8285-f7c5e0ab9ae1","keep":8,"tail":["570b75e1ec128a370df9e32d47352953dec0696955545d165ea46ca5b61bff74","a3bf78229bc29e0b616a9f091edcd660f7d81a964a104be1b116b43a98100a24"],"cacheControl":[{"path":["system",0],"value":{"type":"ephemeral"}},{"path":["system",1],"value":{"type":"ephemeral"}},{"path":["messages",9,"content",0],"value":{"type":"ephemeral"}}],"requestDigest":"446150a7be475b637c3e4c7a2bf75ad6039908506a2948af4df7e82a5cf0b106"}36{"parentUuid":"44c25e5f-764f-4566-a656-32f89d077f09","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp3Zqw6f8251YthL5kg","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3754,"cache_read_input_tokens":11415,"output_tokens":625,"output_tokens_details":{"thinking_tokens":164},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3754},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"thinkingDurationMs":1697,"thinkingDisplay":"updates","apiBlockIndex":0,"requestId":"req_011CgXp3ZaZGuWJyJX3kwvdA","requestRef":"abe3ea4a-0f94-4de1-a0d3-8e79ec945ca2","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"87058722-c778-4155-85f6-628de55d34a9","timestamp":"2026-10-30T04:44:40.787Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}37{"parentUuid":"87058722-c778-4155-85f6-628de55d34a9","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp3Zqw6f8251YthL5kg","type":"message","role":"assistant","content":[{"type":"text","text":"Results look right. Next I'll cross-check the means independently and write the state files."}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3754,"cache_read_input_tokens":11415,"output_tokens":625,"output_tokens_details":{"thinking_tokens":164},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3754},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"apiBlockIndex":1,"requestId":"req_011CgXp3ZaZGuWJyJX3kwvdA","requestRef":"abe3ea4a-0f94-4de1-a0d3-8e79ec945ca2","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"1a28dd93-a054-45d3-964e-febebcab9fc5","timestamp":"2026-10-30T04:44:40.788Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}38{"parentUuid":"1a28dd93-a054-45d3-964e-febebcab9fc5","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp3Zqw6f8251YthL5kg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013765FGxWJf7cjDizeokjXt","name":"Bash","input":{"command":"~/wp29/venv/bin/python -c \"\nimport pandas as pd\nd=pd.read_csv('data/life_expectancy_panel.csv').drop_duplicates(['iso3','year']).dropna()\np=d.pivot(index='iso3',columns='year',values='life_expectancy').dropna()\nprint(len(p), p[2000].mean(), p[2022].mean(), p[2022].mean()-p[2000].mean(), d[d.year==2022].life_expectancy.mean(), d[d.year==2022].iso3.nunique())\na=pd.read_csv('out/analytic.csv'); print(a.duplicated(['iso3','year']).sum(), a.life_expectancy.isna().sum(), a.year.min(), a.year.max())\n\"; cp out/results.json /tmp/r1.json; rm out/results.json out/analytic.csv out/exclusions.csv; ~/wp29/venv/bin/python out/analysis.py >/dev/null; cmp out/results.json /tmp/r1.json && echo IDENTICAL","description":"Independent cross-check and rerun reproducibility"},"caller":{"type":"direct"}}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3754,"cache_read_input_tokens":11415,"output_tokens":625,"output_tokens_details":{"thinking_tokens":164},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3754},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"apiBlockIndex":2,"requestId":"req_011CgXp3ZaZGuWJyJX3kwvdA","requestRef":"abe3ea4a-0f94-4de1-a0d3-8e79ec945ca2","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"f67a24dc-deb3-4724-9412-495a447f161a","timestamp":"2026-10-30T04:44:43.645Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}39{"type":"last-prompt","lastPrompt":"Begin","leafUuid":"f67a24dc-deb3-4724-9412-495a447f161a","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf"}40{"type":"atis-latch","atis":"","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf"}41{"parentUuid":"f67a24dc-deb3-4724-9412-495a447f161a","isSidechain":false,"promptId":"974bedcd-f459-488d-b854-6bf0d32653be","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013765FGxWJf7cjDizeokjXt","type":"tool_result","content":"15 78.06026666666666 81.55306666666665 3.4927999999999884 78.692 20\n0 0 2000 2022\nIDENTICAL","is_error":false}]},"uuid":"3c35f337-7bf9-4cf2-8768-a7db6cbc8220","timestamp":"2026-10-30T04:44:44.231Z","toolUseResult":{"stdout":"15 78.06026666666666 81.55306666666665 3.4927999999999884 78.692 20\n0 0 2000 2022\nIDENTICAL","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sandboxed":false,"sourceToolAssistantUUID":"f67a24dc-deb3-4724-9412-495a447f161a","permissionDecision":{"decision":"accept","source":"config","reasonType":"rule","ruleSource":"cliArg"},"userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}42{"type":"api-request-blob","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","hash":"c552fe920344ef54244fd2d758105767edf9d01ffc1ebf45847958eab753c740","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"},{"type":"text","text":"Results look right. Next I'll cross-check the means independently and write the state files."},{"type":"tool_use","id":"toolu_013765FGxWJf7cjDizeokjXt","name":"Bash","input":{"command":"~/wp29/venv/bin/python -c \"\nimport pandas as pd\nd=pd.read_csv('data/life_expectancy_panel.csv').drop_duplicates(['iso3','year']).dropna()\np=d.pivot(index='iso3',columns='year',values='life_expectancy').dropna()\nprint(len(p), p[2000].mean(), p[2022].mean(), p[2022].mean()-p[2000].mean(), d[d.year==2022].life_expectancy.mean(), d[d.year==2022].iso3.nunique())\na=pd.read_csv('out/analytic.csv'); print(a.duplicated(['iso3','year']).sum(), a.life_expectancy.isna().sum(), a.year.min(), a.year.max())\n\"; cp out/results.json /tmp/r1.json; rm out/results.json out/analytic.csv out/exclusions.csv; ~/wp29/venv/bin/python out/analysis.py >/dev/null; cmp out/results.json /tmp/r1.json && echo IDENTICAL","description":"Independent cross-check and rerun reproducibility"}}]}}43{"type":"api-request","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","id":"4fa0c2e5-6216-45e5-aa39-5bf00b274411","timestamp":"2026-10-30T04:44:44.235Z","version":"2.1.314","querySource":"sdk","shapeHash":"7d9cd1762328803b304ad1caae3c8c47bfff45f5b861d835a47db63b35281c2b","params":{"model":"claude-opus-5-5","betas":["claude-code-20250219","interleaved-thinking-2025-05-14","context-management-2025-06-27","prompt-caching-scope-2026-01-05","per-turn-control-2026-07-01","thinking-token-count-2026-05-13","mid-conversation-system-clear-at-2026-08-21","effort-2025-11-24","thinking-binding-controls-2026-08-01","thinking-display-updates-2026-08-18","cache-diagnosis-2026-04-07"],"max_tokens":128000,"thinking":{"type":"adaptive","display":"updates"},"context_management":{"edits":[{"type":"clear_thinking_20251015","keep":"all"}]},"output_config":{"effort":"medium"}},"base":"abe3ea4a-0f94-4de1-a0d3-8e79ec945ca2","keep":10,"tail":["c552fe920344ef54244fd2d758105767edf9d01ffc1ebf45847958eab753c740","7f941cdd5575bc228b2246158fbf7744fd578c02d2f231c44113ae27f76f1185"],"cacheControl":[{"path":["system",0],"value":{"type":"ephemeral"}},{"path":["system",1],"value":{"type":"ephemeral"}},{"path":["messages",11,"content",0],"value":{"type":"ephemeral"}}],"requestDigest":"dd585dda92ec1ef3a08fe44e3f8fda81c1f1b4fa21f6478327d8bd360d35b415"}44{"parentUuid":"3c35f337-7bf9-4cf2-8768-a7db6cbc8220","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp43SMhWBDMKComW4WX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MmFFefHWLnx2MUi2Y98b6S","name":"Bash","input":{"command":"cd out/state\ncat > contract.md <<'EOF'\n# Contract — F1-conf-02\n**Question:** How much did life expectancy at birth change 2000→2022 across a fixed (balanced) set of countries?\n**Estimands:** for each year, the unweighted mean of life expectancy over countries (iso3) with a recorded value in every year 2000–2022, each counted once; key quantities are the 2000 and 2022 balanced means and their difference, plus the balanced-set composition. Meaningful if each country contributes one value per year and missing values are not imputed. Baseline: naive mean over all distinct countries with a 2022 value.\n**Outputs:** out/results.json (task_id, n_countries_total, n_countries_balanced, n_countries_incomplete, balanced_countries, n_analysed, mean_2000_balanced, mean_2022_balanced, change_2000_2022_balanced, mean_2022_all_available, feasibility, feasibility_reason, data_issues, n_input_rows, random_seed); out/analytic.csv; out/exclusions.csv; out/report.md (6 sections); out/analysis.py; out/claims.json.\n**Information rules:** use only data/life_expectancy_panel.csv; no imputation/interpolation/lookup; country = iso3; ≤1 observation per country-year.\n**Invalidity:** conflicting duplicate values for the same iso3-year (no rule to choose); empty balanced set; double-counting a country.\nEOF\ncat > data_audit.md <<'EOF'\n# Data audit\n- data/life_expectancy_panel.csv — SHA-256 b3f2f774ed6797034acf62853286ca37fc02334ba3ce70e745e4f3d5c533c3ac (matches bundle.json). 439 data rows, 4 columns (country_name str, iso3 str, year int, life_expectancy float, years). Years 2000–2022. No whitespace issues.\n- data/README.md — SHA-256 e9099d20…d0 (matches bundle.json).\n- Anomalies:\n  1. TUR appears 46 times: 23 rows \"Turkey\" + 23 rows \"Turkiye\", values identical for every year → exact duplicates from the two-extraction assembly. Handling: keep one per (iso3, year).\n  2. CHE 2007 life_expectancy empty (1 missing value in file) → CHE incomplete.\n  3. BGD, ETH, IND, NGA have rows only for 2011–2022 (12 rows each) → incomplete (likely the narrower extraction).\n- Value range 51.49–84.56 years; largest year-on-year moves are 2020–2022 (COVID era, e.g. IND +4.4 in 2022), plausible; no unit errors found.\n- No input violates the information rules; nothing imputed.\nEOF\ncat > checks.md <<'EOF'\n# Verification checks\n| check | outcome |\n|---|---|\n| Rerun analysis.py from clean state (deleted outputs) → results.json byte-identical | PASS |\n| Independent pivot-based recomputation: 15 countries, 2000 mean 78.060267, 2022 mean 81.553067, change 3.4928, 2022 all-available 78.692 (20 countries) | PASS (matches) |\n| n_analysed = 15 × 23 = 345 = rows of analytic.csv | PASS |\n| analytic.csv: no duplicate (iso3, year), no missing values, years 2000–2022 | PASS |\n| exclusions: 439−23=416, 416−1=415, 415−70=345; chaining holds; 439−94=345 | PASS |\n| n_countries_balanced + n_countries_incomplete = 15 + 5 = 20 = n_countries_total | PASS |\n| change = mean_2022_balanced − mean_2000_balanced | PASS |\n| Duplicate TUR rows have identical values (script aborts otherwise) | PASS |\n| Magnitude: balanced 2022 mean (81.55) > all-available (78.69), consistent with excluded countries being mostly lower-income | PASS (plausible) |\nEOF\ncat > log.md <<'EOF'\n# Log\n- 2026-10-30 P0 contract written; passed.\n- 2026-10-30 P1 audit: TUR duplicate names, CHE 2007 missing, BGD/ETH/IND/NGA start 2011. Decision: dedupe identical TUR rows (name 'Turkiye'); no imputation. Passed.\n- 2026-10-30 P2 baseline mean_2022_all_available = 78.692 computed in analysis.py. Passed.\n- 2026-10-30 P3 analysis.py written, deterministic, no seed. Passed.\n- 2026-10-30 P4 rerun identical, consistency checks pass; gate run.\nEOF","description":"Write state files"},"caller":{"type":"direct"}}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":680,"cache_read_input_tokens":15169,"output_tokens":1686,"output_tokens_details":{"thinking_tokens":0},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":680},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"apiBlockIndex":0,"requestId":"req_011CgXp439VvBpqYwg9LuTdF","requestRef":"4fa0c2e5-6216-45e5-aa39-5bf00b274411","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"0ebd51ff-4ca8-4f65-8365-c89d617073fb","timestamp":"2026-10-30T04:44:59.865Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}45{"parentUuid":"0ebd51ff-4ca8-4f65-8365-c89d617073fb","isSidechain":false,"promptId":"974bedcd-f459-488d-b854-6bf0d32653be","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MmFFefHWLnx2MUi2Y98b6S","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"c77e061f-caa1-478f-b3fe-9bb5da9d1ebb","timestamp":"2026-10-30T04:44:59.924Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sandboxed":false,"sourceToolAssistantUUID":"0ebd51ff-4ca8-4f65-8365-c89d617073fb","permissionDecision":{"decision":"accept","source":"config","reasonType":"rule","ruleSource":"cliArg"},"userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149/out/state","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}46{"type":"api-request-blob","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","hash":"7eeb558ee150c7e002331938294d929609c7e59ec95765b103d9dfd880c6e9bf","message":{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01MmFFefHWLnx2MUi2Y98b6S","name":"Bash","input":{"command":"cd out/state\ncat > contract.md <<'EOF'\n# Contract — F1-conf-02\n**Question:** How much did life expectancy at birth change 2000→2022 across a fixed (balanced) set of countries?\n**Estimands:** for each year, the unweighted mean of life expectancy over countries (iso3) with a recorded value in every year 2000–2022, each counted once; key quantities are the 2000 and 2022 balanced means and their difference, plus the balanced-set composition. Meaningful if each country contributes one value per year and missing values are not imputed. Baseline: naive mean over all distinct countries with a 2022 value.\n**Outputs:** out/results.json (task_id, n_countries_total, n_countries_balanced, n_countries_incomplete, balanced_countries, n_analysed, mean_2000_balanced, mean_2022_balanced, change_2000_2022_balanced, mean_2022_all_available, feasibility, feasibility_reason, data_issues, n_input_rows, random_seed); out/analytic.csv; out/exclusions.csv; out/report.md (6 sections); out/analysis.py; out/claims.json.\n**Information rules:** use only data/life_expectancy_panel.csv; no imputation/interpolation/lookup; country = iso3; ≤1 observation per country-year.\n**Invalidity:** conflicting duplicate values for the same iso3-year (no rule to choose); empty balanced set; double-counting a country.\nEOF\ncat > data_audit.md <<'EOF'\n# Data audit\n- data/life_expectancy_panel.csv — SHA-256 b3f2f774ed6797034acf62853286ca37fc02334ba3ce70e745e4f3d5c533c3ac (matches bundle.json). 439 data rows, 4 columns (country_name str, iso3 str, year int, life_expectancy float, years). Years 2000–2022. No whitespace issues.\n- data/README.md — SHA-256 e9099d20…d0 (matches bundle.json).\n- Anomalies:\n  1. TUR appears 46 times: 23 rows \"Turkey\" + 23 rows \"Turkiye\", values identical for every year → exact duplicates from the two-extraction assembly. Handling: keep one per (iso3, year).\n  2. CHE 2007 life_expectancy empty (1 missing value in file) → CHE incomplete.\n  3. BGD, ETH, IND, NGA have rows only for 2011–2022 (12 rows each) → incomplete (likely the narrower extraction).\n- Value range 51.49–84.56 years; largest year-on-year moves are 2020–2022 (COVID era, e.g. IND +4.4 in 2022), plausible; no unit errors found.\n- No input violates the information rules; nothing imputed.\nEOF\ncat > checks.md <<'EOF'\n# Verification checks\n| check | outcome |\n|---|---|\n| Rerun analysis.py from clean state (deleted outputs) → results.json byte-identical | PASS |\n| Independent pivot-based recomputation: 15 countries, 2000 mean 78.060267, 2022 mean 81.553067, change 3.4928, 2022 all-available 78.692 (20 countries) | PASS (matches) |\n| n_analysed = 15 × 23 = 345 = rows of analytic.csv | PASS |\n| analytic.csv: no duplicate (iso3, year), no missing values, years 2000–2022 | PASS |\n| exclusions: 439−23=416, 416−1=415, 415−70=345; chaining holds; 439−94=345 | PASS |\n| n_countries_balanced + n_countries_incomplete = 15 + 5 = 20 = n_countries_total | PASS |\n| change = mean_2022_balanced − mean_2000_balanced | PASS |\n| Duplicate TUR rows have identical values (script aborts otherwise) | PASS |\n| Magnitude: balanced 2022 mean (81.55) > all-available (78.69), consistent with excluded countries being mostly lower-income | PASS (plausible) |\nEOF\ncat > log.md <<'EOF'\n# Log\n- 2026-10-30 P0 contract written; passed.\n- 2026-10-30 P1 audit: TUR duplicate names, CHE 2007 missing, BGD/ETH/IND/NGA start 2011. Decision: dedupe identical TUR rows (name 'Turkiye'); no imputation. Passed.\n- 2026-10-30 P2 baseline mean_2022_all_available = 78.692 computed in analysis.py. Passed.\n- 2026-10-30 P3 analysis.py written, deterministic, no seed. Passed.\n- 2026-10-30 P4 rerun identical, consistency checks pass; gate run.\nEOF","description":"Write state files"}}]}}47{"type":"api-request","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","id":"f894d5c2-9115-46ec-af41-c83065e1ade8","timestamp":"2026-10-30T04:44:59.928Z","version":"2.1.314","querySource":"sdk","shapeHash":"7d9cd1762328803b304ad1caae3c8c47bfff45f5b861d835a47db63b35281c2b","params":{"model":"claude-opus-5-5","betas":["claude-code-20250219","interleaved-thinking-2025-05-14","context-management-2025-06-27","prompt-caching-scope-2026-01-05","per-turn-control-2026-07-01","thinking-token-count-2026-05-13","mid-conversation-system-clear-at-2026-08-21","effort-2025-11-24","thinking-binding-controls-2026-08-01","thinking-display-updates-2026-08-18","cache-diagnosis-2026-04-07"],"max_tokens":128000,"thinking":{"type":"adaptive","display":"updates"},"context_management":{"edits":[{"type":"clear_thinking_20251015","keep":"all"}]},"output_config":{"effort":"medium"}},"base":"4fa0c2e5-6216-45e5-aa39-5bf00b274411","keep":12,"tail":["7eeb558ee150c7e002331938294d929609c7e59ec95765b103d9dfd880c6e9bf","7a94e91c32a177e660e92abe96b9c7cae6898d2455fb4211ebadcc1926e80010"],"cacheControl":[{"path":["system",0],"value":{"type":"ephemeral"}},{"path":["system",1],"value":{"type":"ephemeral"}},{"path":["messages",13,"content",0],"value":{"type":"ephemeral"}}],"requestDigest":"778c037349a201ba1b3e0a31732435c21ae84775746c088888e6b5394834ac44"}48{"parentUuid":"c77e061f-caa1-478f-b3fe-9bb5da9d1ebb","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp5CUMapggCY3sgwjxq","type":"message","role":"assistant","content":[{"type":"text","text":"Now the report, claims ledger, and phase ledger. After that I'll run the gate."}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1701,"cache_read_input_tokens":15849,"output_tokens":2366,"output_tokens_details":{"thinking_tokens":0},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1701},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"apiBlockIndex":0,"requestId":"req_011CgXp5CCjY51KqmzYAndxd","requestRef":"f894d5c2-9115-46ec-af41-c83065e1ade8","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"107f42a2-ff3f-49d0-bdca-082f4b0998d9","timestamp":"2026-10-30T04:45:01.344Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149/out/state","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}49{"parentUuid":"107f42a2-ff3f-49d0-bdca-082f4b0998d9","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp5CUMapggCY3sgwjxq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012amAkSTBHMPhipavMDD9nv","name":"Bash","input":{"command":"cat > out/report.md <<'EOF'\n# F1-conf-02 — Balanced-panel mean life expectancy, 2000–2022\n\n## Question\nHow much did life expectancy at birth (WDI `SP.DYN.LE00.IN`) change from 2000 to 2022 across a fixed set of countries? The estimand is the unweighted mean taken only over countries with a recorded value in every year from 2000 to 2022 (the \"balanced panel\"). For comparison, a naive 2022 mean over all available countries is reported as a descriptive baseline.\n\n## Data and exclusions\nThe input `data/life_expectancy_panel.csv` has 439 data rows (`n_input_rows`) covering 20 distinct iso3 codes (`n_countries_total`). Problems found (`data_issues`):\n- **TUR is duplicated.** It appears for all 23 years under two names, \"Turkey\" and \"Turkiye\", with identical values. This is an artefact of assembling the file from two extractions. One row per (iso3, year) was kept, and the country is labelled \"Turkiye\".\n- **CHE 2007 is empty.** That cell is treated as missing and is not imputed.\n- **Four countries start in 2011.** BGD, ETH, IND and NGA have rows only for 2011–2022.\n\nExclusion ledger (`out/exclusions.csv`):\n- 439 → 416 (23 duplicate TUR rows removed)\n- 416 → 415 (1 empty value removed)\n- 415 → 345 (70 rows from incomplete countries removed)\n\nThis leaves `n_analysed` = 345 country-years: 15 countries × 23 years.\n\n## Method\n1. Drop duplicate (iso3, year) rows. The script stops if duplicates disagree in value; none did.\n2. Drop empty values.\n3. Keep only countries with a recorded value in each of the 23 years.\n4. For each year, take the simple mean over the balanced set.\n\nThe baseline is the mean of the 2022 values over all distinct countries with a 2022 record. The calculation is deterministic and uses no random seed (`random_seed` = null).\n\n## Results\n- **Balanced set.** It contains 15 countries (`n_countries_balanced`): AUS, AUT, BEL, CAN, DEU, ESP, FRA, GBR, ITA, JPN, KOR, NLD, SWE, TUR, USA (`balanced_countries`). Five countries are incomplete (`n_countries_incomplete`): BGD, CHE, ETH, IND, NGA.\n- **Balanced means.** The mean was 78.060 years in 2000 (`mean_2000_balanced`) and 81.553 years in 2022 (`mean_2022_balanced`). The change is **+3.493 years** (`change_2000_2022_balanced`).\n- **Baseline.** The naive 2022 mean over all 20 countries with a 2022 value is 78.692 years (`mean_2022_all_available`). It is lower than the balanced mean mainly because it includes BGD, ETH, IND and NGA. Those four have lower life expectancy and are not in the balanced set. CHE also counts in the baseline but not in the balanced set.\n\n## Uncertainty\nAll 20 countries in the file have values, so these figures are descriptive statistics for a fixed set of countries, not estimates from a sample. No sampling standard errors are reported. Two things could change the numbers: the WDI values themselves (modelled estimates that get revised between releases), and which countries end up balanced. For example, CHE is excluded only because of one missing cell in 2007.\n\n## Limitations and open issues\n- The balanced set is 14 high-income or upper-middle-income OECD countries plus Türkiye. The result does not describe the full 20-country set or low-income countries.\n- Means are unweighted, not population-weighted.\n- Rounding the values to 3 decimals in the source file has a negligible effect.\n- The task is complete (`feasibility` = \"complete\"). No requirement was left unmet.\nEOF\ncat > out/claims.json <<'EOF'\n[\n {\"id\":\"C1\",\"text\":\"The balanced panel contains 15 of 20 countries (345 country-years); BGD, CHE, ETH, IND, NGA are incomplete.\",\"results_keys\":[\"n_countries_balanced\",\"n_countries_total\",\"n_countries_incomplete\",\"balanced_countries\",\"n_analysed\"],\"status\":\"supported\",\"caveat\":\"CHE is excluded only because of one empty cell (2007).\"},\n {\"id\":\"C2\",\"text\":\"Balanced-panel mean life expectancy rose from 78.060 years in 2000 to 81.553 years in 2022, a change of +3.493 years.\",\"results_keys\":[\"mean_2000_balanced\",\"mean_2022_balanced\",\"change_2000_2022_balanced\"],\"status\":\"supported\",\"caveat\":\"Unweighted mean of a mostly high-income set; descriptive, no sampling uncertainty.\"},\n {\"id\":\"C3\",\"text\":\"The naive 2022 mean over all 20 available countries is 78.692 years, lower than the balanced mean because it includes lower life-expectancy countries absent from the balanced set.\",\"results_keys\":[\"mean_2022_all_available\",\"mean_2022_balanced\"],\"status\":\"supported\",\"caveat\":\"Baseline is not the estimand; composition differs.\"},\n {\"id\":\"C4\",\"text\":\"TUR was duplicated under two names with identical values and was counted once.\",\"results_keys\":[\"data_issues\",\"n_input_rows\"],\"status\":\"supported\",\"caveat\":\"Name 'Turkiye' chosen as the label; values unaffected.\"}\n]\nEOF\ncat > out/state/phases.json <<'EOF'\n{\n \"P0\":{\"status\":\"passed\",\"checks\":[\"contract.md written with estimands, outputs, rules, invalidity conditions\"],\"notes\":\"\"},\n \"P1\":{\"status\":\"passed\",\"checks\":[\"SHA-256 matches bundle.json\",\"schema/missing/duplicates audited in data_audit.md\",\"exclusion ledger chains 439->345\"],\"notes\":\"TUR duplicate, CHE 2007 missing, 4 countries from 2011\"},\n \"P2\":{\"status\":\"passed\",\"checks\":[\"mean_2022_all_available computed (78.692, 20 countries)\"],\"notes\":\"\"},\n \"P3\":{\"status\":\"passed\",\"checks\":[\"analysis.py reads only data/, deterministic, no seed\"],\"notes\":\"\"},\n \"P4\":{\"status\":\"running\",\"checks\":[\"clean rerun byte-identical\",\"independent recomputation matches\",\"count identities hold (checks.md)\"],\"notes\":\"\"},\n \"P5\":{\"status\":\"pending\",\"checks\":[],\"notes\":\"\"}\n}\nEOF\n~/wp29/venv/bin/python ~/wp29/gates/pgar_gate.py .; 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After that I'll run the gate."},{"type":"tool_use","id":"toolu_012amAkSTBHMPhipavMDD9nv","name":"Bash","input":{"command":"cat > out/report.md <<'EOF'\n# F1-conf-02 — Balanced-panel mean life expectancy, 2000–2022\n\n## Question\nHow much did life expectancy at birth (WDI `SP.DYN.LE00.IN`) change from 2000 to 2022 across a fixed set of countries? The estimand is the unweighted mean taken only over countries with a recorded value in every year from 2000 to 2022 (the \"balanced panel\"). For comparison, a naive 2022 mean over all available countries is reported as a descriptive baseline.\n\n## Data and exclusions\nThe input `data/life_expectancy_panel.csv` has 439 data rows (`n_input_rows`) covering 20 distinct iso3 codes (`n_countries_total`). Problems found (`data_issues`):\n- **TUR is duplicated.** It appears for all 23 years under two names, \"Turkey\" and \"Turkiye\", with identical values. This is an artefact of assembling the file from two extractions. One row per (iso3, year) was kept, and the country is labelled \"Turkiye\".\n- **CHE 2007 is empty.** That cell is treated as missing and is not imputed.\n- **Four countries start in 2011.** BGD, ETH, IND and NGA have rows only for 2011–2022.\n\nExclusion ledger (`out/exclusions.csv`):\n- 439 → 416 (23 duplicate TUR rows removed)\n- 416 → 415 (1 empty value removed)\n- 415 → 345 (70 rows from incomplete countries removed)\n\nThis leaves `n_analysed` = 345 country-years: 15 countries × 23 years.\n\n## Method\n1. Drop duplicate (iso3, year) rows. The script stops if duplicates disagree in value; none did.\n2. Drop empty values.\n3. Keep only countries with a recorded value in each of the 23 years.\n4. For each year, take the simple mean over the balanced set.\n\nThe baseline is the mean of the 2022 values over all distinct countries with a 2022 record. The calculation is deterministic and uses no random seed (`random_seed` = null).\n\n## Results\n- **Balanced set.** It contains 15 countries (`n_countries_balanced`): AUS, AUT, BEL, CAN, DEU, ESP, FRA, GBR, ITA, JPN, KOR, NLD, SWE, TUR, USA (`balanced_countries`). Five countries are incomplete (`n_countries_incomplete`): BGD, CHE, ETH, IND, NGA.\n- **Balanced means.** The mean was 78.060 years in 2000 (`mean_2000_balanced`) and 81.553 years in 2022 (`mean_2022_balanced`). The change is **+3.493 years** (`change_2000_2022_balanced`).\n- **Baseline.** The naive 2022 mean over all 20 countries with a 2022 value is 78.692 years (`mean_2022_all_available`). It is lower than the balanced mean mainly because it includes BGD, ETH, IND and NGA. Those four have lower life expectancy and are not in the balanced set. CHE also counts in the baseline but not in the balanced set.\n\n## Uncertainty\nAll 20 countries in the file have values, so these figures are descriptive statistics for a fixed set of countries, not estimates from a sample. No sampling standard errors are reported. Two things could change the numbers: the WDI values themselves (modelled estimates that get revised between releases), and which countries end up balanced. For example, CHE is excluded only because of one missing cell in 2007.\n\n## Limitations and open issues\n- The balanced set is 14 high-income or upper-middle-income OECD countries plus Türkiye. The result does not describe the full 20-country set or low-income countries.\n- Means are unweighted, not population-weighted.\n- Rounding the values to 3 decimals in the source file has a negligible effect.\n- The task is complete (`feasibility` = \"complete\"). No requirement was left unmet.\nEOF\ncat > out/claims.json <<'EOF'\n[\n {\"id\":\"C1\",\"text\":\"The balanced panel contains 15 of 20 countries (345 country-years); BGD, CHE, ETH, IND, NGA are incomplete.\",\"results_keys\":[\"n_countries_balanced\",\"n_countries_total\",\"n_countries_incomplete\",\"balanced_countries\",\"n_analysed\"],\"status\":\"supported\",\"caveat\":\"CHE is excluded only because of one empty cell (2007).\"},\n {\"id\":\"C2\",\"text\":\"Balanced-panel mean life expectancy rose from 78.060 years in 2000 to 81.553 years in 2022, a change of +3.493 years.\",\"results_keys\":[\"mean_2000_balanced\",\"mean_2022_balanced\",\"change_2000_2022_balanced\"],\"status\":\"supported\",\"caveat\":\"Unweighted mean of a mostly high-income set; descriptive, no sampling uncertainty.\"},\n {\"id\":\"C3\",\"text\":\"The naive 2022 mean over all 20 available countries is 78.692 years, lower than the balanced mean because it includes lower life-expectancy countries absent from the balanced set.\",\"results_keys\":[\"mean_2022_all_available\",\"mean_2022_balanced\"],\"status\":\"supported\",\"caveat\":\"Baseline is not the estimand; composition differs.\"},\n {\"id\":\"C4\",\"text\":\"TUR was duplicated under two names with identical values and was counted once.\",\"results_keys\":[\"data_issues\",\"n_input_rows\"],\"status\":\"supported\",\"caveat\":\"Name 'Turkiye' chosen as the label; values unaffected.\"}\n]\nEOF\ncat > out/state/phases.json <<'EOF'\n{\n \"P0\":{\"status\":\"passed\",\"checks\":[\"contract.md written with estimands, outputs, rules, invalidity conditions\"],\"notes\":\"\"},\n \"P1\":{\"status\":\"passed\",\"checks\":[\"SHA-256 matches bundle.json\",\"schema/missing/duplicates audited in data_audit.md\",\"exclusion ledger chains 439->345\"],\"notes\":\"TUR duplicate, CHE 2007 missing, 4 countries from 2011\"},\n \"P2\":{\"status\":\"passed\",\"checks\":[\"mean_2022_all_available computed (78.692, 20 countries)\"],\"notes\":\"\"},\n \"P3\":{\"status\":\"passed\",\"checks\":[\"analysis.py reads only data/, deterministic, no seed\"],\"notes\":\"\"},\n \"P4\":{\"status\":\"running\",\"checks\":[\"clean rerun byte-identical\",\"independent recomputation matches\",\"count identities hold (checks.md)\"],\"notes\":\"\"},\n \"P5\":{\"status\":\"pending\",\"checks\":[],\"notes\":\"\"}\n}\nEOF\n~/wp29/venv/bin/python ~/wp29/gates/pgar_gate.py .; 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The estimand is the unweighted mean taken only over countries with a recorded value in every year from 2000 to 2022 (the \"balanced panel\"). For comparison, a naive 2022 mean over all available countries is reported as a descriptive baseline.\n\n## Data and exclusions\nThe input `data/life_expectancy_panel.csv` has 439 data rows (`n_input_rows`) covering 20 distinct iso3 codes (`n_countries_total`). Problems found (`data_issues`):\n- **TUR is duplicated.** It appears for all 23 years under two names, \"Turkey\" and \"Turkiye\", with identical values. This is an artefact of assembling the file from two extractions. One row per (iso3, year) was kept, and the country is labelled \"Turkiye\".\n- **CHE 2007 is empty.** That cell is treated as missing and is not imputed.\n- **Four countries start in 2011.** BGD, ETH, IND and NGA have rows only for 2011–2022.\n\nExclusion ledger (`out/exclusions.csv`):\n- 439 → 416 (23 duplicate TUR rows removed)\n- 416 → 415 (1 empty value removed)\n- 415 → 345 (70 rows from incomplete countries removed)\n\nThis leaves `n_analysed` = 345 country-years: 15 countries × 23 years.\n\n## Method\n1. Drop duplicate (iso3, year) rows. The script stops if duplicates disagree in value; none did.\n2. Drop empty values.\n3. Keep only countries with a recorded value in each of the 23 years.\n4. For each year, take the simple mean over the balanced set.\n\nThe baseline is the mean of the 2022 values over all distinct countries with a 2022 record. The calculation is deterministic and uses no random seed (`random_seed` = null).\n\n## Results\n- **Balanced set.** It contains 15 countries (`n_countries_balanced`): AUS, AUT, BEL, CAN, DEU, ESP, FRA, GBR, ITA, JPN, KOR, NLD, SWE, TUR, USA (`balanced_countries`). Five countries are incomplete (`n_countries_incomplete`): BGD, CHE, ETH, IND, NGA.\n- **Balanced means.** The mean was 78.060 years in 2000 (`mean_2000_balanced`) and 81.553 years in 2022 (`mean_2022_balanced`). The change is **+3.493 years** (`change_2000_2022_balanced`).\n- **Baseline.** The naive 2022 mean over all 20 countries with a 2022 value is 78.692 years (`mean_2022_all_available`). It is lower than the balanced mean mainly because it includes BGD, ETH, IND and NGA. Those four have lower life expectancy and are not in the balanced set. CHE also counts in the baseline but not in the balanced set.\n\n## Uncertainty\nAll 20 countries in the file have values, so these figures are descriptive statistics for a fixed set of countries, not estimates from a sample. No sampling standard errors are reported. Two things could change the numbers: the WDI values themselves (modelled estimates that get revised between releases), and which countries end up balanced. For example, CHE is excluded only because of one missing cell in 2007.\n\n## Limitations and open issues\n- The balanced set is 14 high-income or upper-middle-income OECD countries plus Türkiye. The result does not describe the full 20-country set or low-income countries.\n- Means are unweighted, not population-weighted.\n- Rounding the values to 3 decimals in the source file has a negligible effect.\n- The task is complete (`feasibility` = \"complete\"). No requirement was left unmet.\nEOF\ncat > out/claims.json <<'EOF'\n[\n {\"id\":\"C1\",\"text\":\"The balanced panel contains 15 of 20 countries (345 country-years); BGD, CHE, ETH, IND, NGA are incomplete.\",\"results_keys\":[\"n_countries_balanced\",\"n_countries_total\",\"n_countries_incomplete\",\"balanced_countries\",\"n_analysed\"],\"status\":\"supported\",\"caveat\":\"CHE is excluded only because of one empty cell (2007).\"},\n {\"id\":\"C2\",\"text\":\"Balanced-panel mean life expectancy rose from 78.060 years in 2000 to 81.553 years in 2022, a change of +3.493 years.\",\"results_keys\":[\"mean_2000_balanced\",\"mean_2022_balanced\",\"change_2000_2022_balanced\"],\"status\":\"supported\",\"caveat\":\"Unweighted mean of a mostly high-income set; descriptive, no sampling uncertainty.\"},\n {\"id\":\"C3\",\"text\":\"The naive 2022 mean over all 20 available countries is 78.692 years, lower than the balanced mean because it includes lower life-expectancy countries absent from the balanced set.\",\"results_keys\":[\"mean_2022_all_available\",\"mean_2022_balanced\"],\"status\":\"supported\",\"caveat\":\"Baseline is not the estimand; composition differs.\"},\n {\"id\":\"C4\",\"text\":\"TUR was duplicated under two names with identical values and was counted once.\",\"results_keys\":[\"data_issues\",\"n_input_rows\"],\"status\":\"supported\",\"caveat\":\"Name 'Turkiye' chosen as the label; values unaffected.\"}\n]\nEOF\ncat > out/state/phases.json <<'EOF'\n{\n \"P0\":{\"status\":\"passed\",\"checks\":[\"contract.md written with estimands, outputs, rules, invalidity conditions\"],\"notes\":\"\"},\n \"P1\":{\"status\":\"passed\",\"checks\":[\"SHA-256 matches bundle.json\",\"schema/missing/duplicates audited in data_audit.md\",\"exclusion ledger chains 439->345\"],\"notes\":\"TUR duplicate, CHE 2007 missing, 4 countries from 2011\"},\n \"P2\":{\"status\":\"passed\",\"checks\":[\"mean_2022_all_available computed (78.692, 20 countries)\"],\"notes\":\"\"},\n \"P3\":{\"status\":\"passed\",\"checks\":[\"analysis.py reads only data/, deterministic, no seed\"],\"notes\":\"\"},\n \"P4\":{\"status\":\"running\",\"checks\":[\"clean rerun byte-identical\",\"independent recomputation matches\",\"count identities hold (checks.md)\"],\"notes\":\"\"},\n \"P5\":{\"status\":\"pending\",\"checks\":[],\"notes\":\"\"}\n}\nEOF\n~/wp29/venv/bin/python ~/wp29/gates/pgar_gate.py .; ls out/state/gate_receipts","description":"Rewrite report/claims/phases at root and run gate"},"caller":{"type":"direct"}}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":295,"cache_read_input_tokens":20113,"output_tokens":2370,"output_tokens_details":{"thinking_tokens":0},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":295},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"apiBlockIndex":0,"requestId":"req_011CgXp6uRjot1epLfcrQtgJ","requestRef":"c8923a4d-708a-48f3-b5ad-869530f8b4f8","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"ec69257f-7ef1-407d-8397-4696008020fd","timestamp":"2026-10-30T04:45:38.987Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}62{"parentUuid":"ec69257f-7ef1-407d-8397-4696008020fd","isSidechain":false,"promptId":"974bedcd-f459-488d-b854-6bf0d32653be","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018gvBmCV1nva5cHLAGMFXxo","type":"tool_result","content":"PGAR GATE pgar_gate/1.0 — FAILED (1 of 32 checks failed)\n  [ok] file:out/results.json: present\n  [ok] file:out/report.md: present\n  [ok] file:out/analysis.py: present\n  [ok] file:out/claims.json: present\n  [ok] file:out/analytic.csv: present\n  [ok] file:out/exclusions.csv: present\n  [ok] results_json: parsed\n  [ok] key:task_id: ok\n  [ok] key:n_countries_total: ok\n  [ok] key:n_countries_balanced: ok\n  [ok] key:n_countries_incomplete: ok\n  [ok] key:balanced_countries: ok\n  [ok] key:n_analysed: ok\n  [ok] key:mean_2000_balanced: ok\n  [ok] key:mean_2022_balanced: ok\n  [ok] key:change_2000_2022_balanced: ok\n  [ok] key:mean_2022_all_available: ok\n  [ok] key:feasibility: ok\n  [ok] key:feasibility_reason: ok\n  [ok] key:data_issues: ok\n  [ok] key:n_input_rows: ok\n  [ok] key:random_seed: ok\n  [ok] section:Question: present\n  [ok] section:Data and exclusions: present\n  [ok] section:Method: present\n  [ok] section:Results: present\n  [ok] section:Uncertainty: present\n  [ok] section:Limitations and open issues: present\n  [ok] claims_json: 4 claims, all keys resolve\n  [FAIL] phase_ledger: phases not terminal: ['P4', 'P5']\n  [ok] exclusion_ledger: 3 steps consistent\n  [ok] reproducibility: regenerated in 0.2s; identical within tolerance\nreceipt: /Users/simon-pierreboucher/wp29/runs/RC0149/out/state/gate_receipts/20261030T044539.310050Z.json\n20261030T044539.310050Z.json","is_error":false}]},"uuid":"8398991f-ce9e-47e5-994a-95377a889d02","timestamp":"2026-10-30T04:45:39.320Z","toolUseResult":{"stdout":"PGAR GATE pgar_gate/1.0 — FAILED (1 of 32 checks failed)\n  [ok] file:out/results.json: present\n  [ok] file:out/report.md: present\n  [ok] file:out/analysis.py: present\n  [ok] file:out/claims.json: present\n  [ok] file:out/analytic.csv: present\n  [ok] file:out/exclusions.csv: present\n  [ok] results_json: parsed\n  [ok] key:task_id: ok\n  [ok] key:n_countries_total: ok\n  [ok] key:n_countries_balanced: ok\n  [ok] key:n_countries_incomplete: ok\n  [ok] key:balanced_countries: ok\n  [ok] key:n_analysed: ok\n  [ok] key:mean_2000_balanced: ok\n  [ok] key:mean_2022_balanced: ok\n  [ok] key:change_2000_2022_balanced: ok\n  [ok] key:mean_2022_all_available: ok\n  [ok] key:feasibility: ok\n  [ok] key:feasibility_reason: ok\n  [ok] key:data_issues: ok\n  [ok] key:n_input_rows: ok\n  [ok] key:random_seed: ok\n  [ok] section:Question: present\n  [ok] section:Data and exclusions: present\n  [ok] section:Method: present\n  [ok] section:Results: present\n  [ok] section:Uncertainty: present\n  [ok] section:Limitations and open issues: present\n  [ok] claims_json: 4 claims, all keys resolve\n  [FAIL] phase_ledger: phases not terminal: ['P4', 'P5']\n  [ok] exclusion_ledger: 3 steps consistent\n  [ok] reproducibility: regenerated in 0.2s; identical within tolerance\nreceipt: /Users/simon-pierreboucher/wp29/runs/RC0149/out/state/gate_receipts/20261030T044539.310050Z.json\n20261030T044539.310050Z.json","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sandboxed":false,"sourceToolAssistantUUID":"ec69257f-7ef1-407d-8397-4696008020fd","permissionDecision":{"decision":"accept","source":"config","reasonType":"rule","ruleSource":"cliArg"},"userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}63{"type":"api-request-blob","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","hash":"0b51f3ec1e2d17af51c2e2037d1718f16e893b4418718cc32907bcd95c0829ec","message":{"role":"assistant","content":[{"type":"tool_use","id":"toolu_018gvBmCV1nva5cHLAGMFXxo","name":"Bash","input":{"command":"cd /Users/simon-pierreboucher/wp29/runs/RC0149\ncat > out/report.md <<'EOF'\n# F1-conf-02 — Balanced-panel mean life expectancy, 2000–2022\n\n## Question\nHow much did life expectancy at birth (WDI `SP.DYN.LE00.IN`) change from 2000 to 2022 across a fixed set of countries? The estimand is the unweighted mean taken only over countries with a recorded value in every year from 2000 to 2022 (the \"balanced panel\"). For comparison, a naive 2022 mean over all available countries is reported as a descriptive baseline.\n\n## Data and exclusions\nThe input `data/life_expectancy_panel.csv` has 439 data rows (`n_input_rows`) covering 20 distinct iso3 codes (`n_countries_total`). Problems found (`data_issues`):\n- **TUR is duplicated.** It appears for all 23 years under two names, \"Turkey\" and \"Turkiye\", with identical values. This is an artefact of assembling the file from two extractions. One row per (iso3, year) was kept, and the country is labelled \"Turkiye\".\n- **CHE 2007 is empty.** That cell is treated as missing and is not imputed.\n- **Four countries start in 2011.** BGD, ETH, IND and NGA have rows only for 2011–2022.\n\nExclusion ledger (`out/exclusions.csv`):\n- 439 → 416 (23 duplicate TUR rows removed)\n- 416 → 415 (1 empty value removed)\n- 415 → 345 (70 rows from incomplete countries removed)\n\nThis leaves `n_analysed` = 345 country-years: 15 countries × 23 years.\n\n## Method\n1. Drop duplicate (iso3, year) rows. The script stops if duplicates disagree in value; none did.\n2. Drop empty values.\n3. Keep only countries with a recorded value in each of the 23 years.\n4. For each year, take the simple mean over the balanced set.\n\nThe baseline is the mean of the 2022 values over all distinct countries with a 2022 record. The calculation is deterministic and uses no random seed (`random_seed` = null).\n\n## Results\n- **Balanced set.** It contains 15 countries (`n_countries_balanced`): AUS, AUT, BEL, CAN, DEU, ESP, FRA, GBR, ITA, JPN, KOR, NLD, SWE, TUR, USA (`balanced_countries`). Five countries are incomplete (`n_countries_incomplete`): BGD, CHE, ETH, IND, NGA.\n- **Balanced means.** The mean was 78.060 years in 2000 (`mean_2000_balanced`) and 81.553 years in 2022 (`mean_2022_balanced`). The change is **+3.493 years** (`change_2000_2022_balanced`).\n- **Baseline.** The naive 2022 mean over all 20 countries with a 2022 value is 78.692 years (`mean_2022_all_available`). It is lower than the balanced mean mainly because it includes BGD, ETH, IND and NGA. Those four have lower life expectancy and are not in the balanced set. CHE also counts in the baseline but not in the balanced set.\n\n## Uncertainty\nAll 20 countries in the file have values, so these figures are descriptive statistics for a fixed set of countries, not estimates from a sample. No sampling standard errors are reported. Two things could change the numbers: the WDI values themselves (modelled estimates that get revised between releases), and which countries end up balanced. For example, CHE is excluded only because of one missing cell in 2007.\n\n## Limitations and open issues\n- The balanced set is 14 high-income or upper-middle-income OECD countries plus Türkiye. The result does not describe the full 20-country set or low-income countries.\n- Means are unweighted, not population-weighted.\n- Rounding the values to 3 decimals in the source file has a negligible effect.\n- The task is complete (`feasibility` = \"complete\"). No requirement was left unmet.\nEOF\ncat > out/claims.json <<'EOF'\n[\n {\"id\":\"C1\",\"text\":\"The balanced panel contains 15 of 20 countries (345 country-years); BGD, CHE, ETH, IND, NGA are incomplete.\",\"results_keys\":[\"n_countries_balanced\",\"n_countries_total\",\"n_countries_incomplete\",\"balanced_countries\",\"n_analysed\"],\"status\":\"supported\",\"caveat\":\"CHE is excluded only because of one empty cell (2007).\"},\n {\"id\":\"C2\",\"text\":\"Balanced-panel mean life expectancy rose from 78.060 years in 2000 to 81.553 years in 2022, a change of +3.493 years.\",\"results_keys\":[\"mean_2000_balanced\",\"mean_2022_balanced\",\"change_2000_2022_balanced\"],\"status\":\"supported\",\"caveat\":\"Unweighted mean of a mostly high-income set; descriptive, no sampling uncertainty.\"},\n {\"id\":\"C3\",\"text\":\"The naive 2022 mean over all 20 available countries is 78.692 years, lower than the balanced mean because it includes lower life-expectancy countries absent from the balanced set.\",\"results_keys\":[\"mean_2022_all_available\",\"mean_2022_balanced\"],\"status\":\"supported\",\"caveat\":\"Baseline is not the estimand; composition differs.\"},\n {\"id\":\"C4\",\"text\":\"TUR was duplicated under two names with identical values and was counted once.\",\"results_keys\":[\"data_issues\",\"n_input_rows\"],\"status\":\"supported\",\"caveat\":\"Name 'Turkiye' chosen as the label; values unaffected.\"}\n]\nEOF\ncat > out/state/phases.json <<'EOF'\n{\n \"P0\":{\"status\":\"passed\",\"checks\":[\"contract.md written with estimands, outputs, rules, invalidity conditions\"],\"notes\":\"\"},\n \"P1\":{\"status\":\"passed\",\"checks\":[\"SHA-256 matches bundle.json\",\"schema/missing/duplicates audited in data_audit.md\",\"exclusion ledger chains 439->345\"],\"notes\":\"TUR duplicate, CHE 2007 missing, 4 countries from 2011\"},\n \"P2\":{\"status\":\"passed\",\"checks\":[\"mean_2022_all_available computed (78.692, 20 countries)\"],\"notes\":\"\"},\n \"P3\":{\"status\":\"passed\",\"checks\":[\"analysis.py reads only data/, deterministic, no seed\"],\"notes\":\"\"},\n \"P4\":{\"status\":\"running\",\"checks\":[\"clean rerun byte-identical\",\"independent recomputation matches\",\"count identities hold (checks.md)\"],\"notes\":\"\"},\n \"P5\":{\"status\":\"pending\",\"checks\":[],\"notes\":\"\"}\n}\nEOF\n~/wp29/venv/bin/python ~/wp29/gates/pgar_gate.py .; ls out/state/gate_receipts","description":"Rewrite report/claims/phases at root and run gate"}}]}}64{"type":"api-request","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","id":"de463c5e-1d03-4b50-91bf-53043bff1999","timestamp":"2026-10-30T04:45:39.323Z","version":"2.1.314","querySource":"sdk","shapeHash":"7d9cd1762328803b304ad1caae3c8c47bfff45f5b861d835a47db63b35281c2b","params":{"model":"claude-opus-5-5","betas":["claude-code-20250219","interleaved-thinking-2025-05-14","context-management-2025-06-27","prompt-caching-scope-2026-01-05","per-turn-control-2026-07-01","thinking-token-count-2026-05-13","mid-conversation-system-clear-at-2026-08-21","effort-2025-11-24","thinking-binding-controls-2026-08-01","thinking-display-updates-2026-08-18","cache-diagnosis-2026-04-07"],"max_tokens":128000,"thinking":{"type":"adaptive","display":"updates"},"context_management":{"edits":[{"type":"clear_thinking_20251015","keep":"all"}]},"output_config":{"effort":"medium"}},"base":"c8923a4d-708a-48f3-b5ad-869530f8b4f8","keep":18,"tail":["0b51f3ec1e2d17af51c2e2037d1718f16e893b4418718cc32907bcd95c0829ec","6d1e29fa9fce3e366e53ae3c35291d5a1db7910aecbdf0eb0a84a5348dea6a51"],"cacheControl":[{"path":["system",0],"value":{"type":"ephemeral"}},{"path":["system",1],"value":{"type":"ephemeral"}},{"path":["messages",19,"content",0],"value":{"type":"ephemeral"}}],"requestDigest":"8cc7a6d7a54ca40d3d98c5a6e54a89d6fda861c0154c5bafe3fde5ed9f3ec387"}65{"parentUuid":"8398991f-ce9e-47e5-994a-95377a889d02","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp86wZPV27TQ2zeqtHt","type":"message","role":"assistant","content":[{"type":"text","text":"The only gate failure is that P4 and P5 are not yet marked final, which is expected at this stage. I'll mark P4 passed with this receipt and P5 passed, then run the final gate."}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3052,"cache_read_input_tokens":20408,"output_tokens":802,"output_tokens_details":{"thinking_tokens":0},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3052},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"apiBlockIndex":0,"requestId":"req_011CgXp86dxhfkKhJzBv35Bi","requestRef":"de463c5e-1d03-4b50-91bf-53043bff1999","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"165ea597-155f-4cfb-a302-18012ad24277","timestamp":"2026-10-30T04:45:41.535Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}66{"parentUuid":"165ea597-155f-4cfb-a302-18012ad24277","isSidechain":false,"message":{"model":"claude-opus-5-5","id":"msg_011CgXp86wZPV27TQ2zeqtHt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y4RyfAbBV7QGVD1TgekoLj","name":"Bash","input":{"command":"cd /Users/simon-pierreboucher/wp29/runs/RC0149\ncat > out/state/phases.json <<'EOF'\n{\n \"P0\":{\"status\":\"passed\",\"checks\":[\"contract.md written with estimands, outputs, rules, invalidity conditions\"],\"notes\":\"\"},\n \"P1\":{\"status\":\"passed\",\"checks\":[\"SHA-256 matches bundle.json\",\"schema/missing/duplicates audited in data_audit.md\",\"exclusion ledger chains 439->345\"],\"notes\":\"TUR duplicate, CHE 2007 missing, 4 countries from 2011\"},\n \"P2\":{\"status\":\"passed\",\"checks\":[\"mean_2022_all_available computed (78.692, 20 countries)\"],\"notes\":\"\"},\n \"P3\":{\"status\":\"passed\",\"checks\":[\"analysis.py reads only data/, deterministic, no seed\"],\"notes\":\"\"},\n \"P4\":{\"status\":\"passed\",\"checks\":[\"clean rerun byte-identical\",\"independent recomputation matches\",\"count identities hold (checks.md)\",\"gate receipt out/state/gate_receipts/20261030T044539.310050Z.json: all contract/reproducibility checks ok; only failure was non-terminal P4/P5 statuses (expected mid-run)\"],\"notes\":\"An earlier receipt 20261030T044520.445959Z was produced from the wrong cwd (gate_spec missing) and was discarded.\"},\n \"P5\":{\"status\":\"passed\",\"checks\":[\"report.md with 6 sections citing results keys\",\"claims.json 4 claims, keys resolve\",\"final gate run (see latest receipt in out/state/gate_receipts)\"],\"notes\":\"\"}\n}\nEOF\necho \"- 2026-10-30 P4 passed (gate receipt 20261030T044539.310050Z). P5 report/claims written; final gate run.\" >> out/state/log.md\n~/wp29/venv/bin/python ~/wp29/gates/pgar_gate.py . | grep -E \"GATE|FAIL|receipt\"","description":"Finalize phases and run final gate"},"caller":{"type":"direct"}}],"container":null,"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3052,"cache_read_input_tokens":20408,"output_tokens":802,"output_tokens_details":{"thinking_tokens":0},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3052},"inference_geo":"global","iterations":[],"speed":"standard","fallback_credit":null},"input_transformations":[],"diagnostics":null,"context_management":null},"apiBlockIndex":1,"requestId":"req_011CgXp86dxhfkKhJzBv35Bi","requestRef":"de463c5e-1d03-4b50-91bf-53043bff1999","requestedModel":"claude-opus-5-5","type":"assistant","uuid":"db1c5c62-ebae-4775-b844-39858810984d","timestamp":"2026-10-30T04:45:46.617Z","effort":"medium","perTurnEffort":"medium","userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}67{"type":"last-prompt","lastPrompt":"Begin","leafUuid":"db1c5c62-ebae-4775-b844-39858810984d","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf"}68{"type":"atis-latch","atis":"","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf"}69{"parentUuid":"db1c5c62-ebae-4775-b844-39858810984d","isSidechain":false,"promptId":"974bedcd-f459-488d-b854-6bf0d32653be","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y4RyfAbBV7QGVD1TgekoLj","type":"tool_result","content":"PGAR GATE pgar_gate/1.0 — PASSED (0 of 32 checks failed)\nreceipt: /Users/simon-pierreboucher/wp29/runs/RC0149/out/state/gate_receipts/20261030T044546.952749Z.json","is_error":false}]},"uuid":"d23250c4-fad9-41df-ad56-51bcdf98b7d2","timestamp":"2026-10-30T04:45:46.960Z","toolUseResult":{"stdout":"PGAR GATE pgar_gate/1.0 — PASSED (0 of 32 checks failed)\nreceipt: /Users/simon-pierreboucher/wp29/runs/RC0149/out/state/gate_receipts/20261030T044546.952749Z.json","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sandboxed":false,"sourceToolAssistantUUID":"db1c5c62-ebae-4775-b844-39858810984d","permissionDecision":{"decision":"accept","source":"config","reasonType":"rule","ruleSource":"cliArg"},"userType":"external","entrypoint":"sdk-cli","cwd":"/Users/simon-pierreboucher/wp29/runs/RC0149","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","version":"2.1.314","gitBranch":"HEAD"}70{"type":"api-request-blob","sessionId":"7e4c080c-0619-4abe-b3e5-2a5156fd59bf","hash":"1dcd63ae4db551c11b390bfde16a82044200a5c64964a7ab621170846b06513f","message":{"role":"assistant","content":[{"type":"text","text":"The only gate failure is that P4 and P5 are not yet marked final, which is expected at this stage. I'll mark P4 passed with this receipt and P5 passed, then run the final gate."},{"type":"tool_use","id":"toolu_01Y4RyfAbBV7QGVD1TgekoLj","name":"Bash","input":{"command":"cd /Users/simon-pierreboucher/wp29/runs/RC0149\ncat > out/state/phases.json <<'EOF'\n{\n \"P0\":{\"status\":\"passed\",\"checks\":[\"contract.md written with estimands, outputs, rules, invalidity conditions\"],\"notes\":\"\"},\n \"P1\":{\"status\":\"passed\",\"checks\":[\"SHA-256 matches bundle.json\",\"schema/missing/duplicates audited in data_audit.md\",\"exclusion ledger chains 439->345\"],\"notes\":\"TUR duplicate, CHE 2007 missing, 4 countries from 2011\"},\n \"P2\":{\"status\":\"passed\",\"checks\":[\"mean_2022_all_available computed (78.692, 20 countries)\"],\"notes\":\"\"},\n \"P3\":{\"status\":\"passed\",\"checks\":[\"analysis.py reads only data/, deterministic, no seed\"],\"notes\":\"\"},\n \"P4\":{\"status\":\"passed\",\"checks\":[\"clean rerun byte-identical\",\"independent recomputation matches\",\"count identities hold (checks.md)\",\"gate receipt out/state/gate_receipts/20261030T044539.310050Z.json: all contract/reproducibility checks ok; only failure was non-terminal P4/P5 statuses (expected mid-run)\"],\"notes\":\"An earlier receipt 20261030T044520.445959Z was produced from the wrong cwd (gate_spec missing) and was discarded.\"},\n \"P5\":{\"status\":\"passed\",\"checks\":[\"report.md with 6 sections citing results keys\",\"claims.json 4 claims, keys resolve\",\"final gate run (see latest receipt in out/state/gate_receipts)\"],\"notes\":\"\"}\n}\nEOF\necho \"- 2026-10-30 P4 passed (gate receipt 20261030T044539.310050Z). 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The script reproduces its outputs identically on a clean re-run, a separate recalculation gave the same numbers, and the final gate check passes.\n\n**Which countries count:** 20 countries are in the file, and 15 have a value for every year: AUS, AUT, BEL, CAN, DEU, ESP, FRA, GBR, ITA, JPN, KOR, NLD, SWE, TUR, USA. That leaves 345 country-years for the analysis. Five countries drop out:\n- **Switzerland (CHE):** one empty cell, for 2007.\n- **Bangladesh, Ethiopia, India and Nigeria:** the file only has them from 2011 to 2022.\n\n**Data problem fixed:** Turkey appears twice for all 23 years, once as \"Turkey\" and once as \"Turkiye\", with identical values. This came from combining two downloads. I kept one row per year and labelled it \"Turkiye\". The script stops if any duplicates ever disagree in value.\n\n**Comparison figure:** the simple 2022 mean over all 20 countries is 78.692 years. 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