WP42: pilot (150 runs), model sensitivities, recovery experiment, analysis tables/figures, phase 5 audit

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

Simon-Pierre Boucher committed 14 h ago (Nov 3, 2026) parent 97305fb Browse files

97 changed files +4,158 −19

added analysis/derived/estimates_pilot.json +404 −0

++{
++ "tag": "pilot",
++ "q": 70,
++ "n_runs": 150,
++ "n_tasks": 10,
++ "total_cost_usd": 124.42590039999999,
++ "by_arm": [
++  {
++   "arm": "A0",
++   "n_runs": 30,
++   "n_tasks": 10,
++   "acceptance_taskw": 0.0,
++   "acceptance_minw": 0.0,
++   "det_completion": 0.0,
++   "critical_error_rate": 0.2,
++   "quality_mean": 27.38888888888889,
++   "quality_sd": 17.40324007207812,
++   "timeout_rate": 0.0,
++   "cost_mean": 0.7095971266666666,
++   "cost_sd": 0.41578295381532226,
++   "cost_per_accepted": NaN,
++   "wall_median_s": 161.95,
++   "tool_calls_mean": 29.433333333333334,
++   "tool_errors_mean": 11.866666666666667,
++   "app_transitions_mean": 0.0,
++   "abstention_rate": 0.9
++  },
++  {
++   "arm": "A1",
++   "n_runs": 30,
++   "n_tasks": 10,
++   "acceptance_taskw": 0.8666666666666666,
++   "acceptance_minw": 0.8847736625514403,
++   "det_completion": 0.9666666666666666,
++   "critical_error_rate": 0.03333333333333333,
++   "quality_mean": 82.34722222222221,
++   "quality_sd": 18.50024701260657,
++   "timeout_rate": 0.0,
++   "cost_mean": 0.82316396,
++   "cost_sd": 0.22962883806934387,
++   "cost_per_accepted": 0.9498045692307693,
++   "wall_median_s": 217.65,
++   "tool_calls_mean": 12.866666666666667,
++   "tool_errors_mean": 0.9,
++   "app_transitions_mean": 3.2666666666666666,
++   "abstention_rate": 0.2
++  },
++  {
++   "arm": "A2",
++   "n_runs": 30,
++   "n_tasks": 10,
++   "acceptance_taskw": 0.9,
++   "acceptance_minw": 0.9094650205761317,
++   "det_completion": 0.9666666666666666,
++   "critical_error_rate": 0.0,
++   "quality_mean": 84.97222222222221,
++   "quality_sd": 9.97718502109102,
++   "timeout_rate": 0.0,
++   "cost_mean": 0.78344624,
++   "cost_sd": 0.18990073897126578,
++   "cost_per_accepted": 0.8704958222222222,
++   "wall_median_s": 213.85000000000002,
++   "tool_calls_mean": 12.366666666666667,
++   "tool_errors_mean": 0.6666666666666666,
++   "app_transitions_mean": 4.433333333333334,
++   "abstention_rate": 0.06666666666666667
++  },
++  {
++   "arm": "A3",
++   "n_runs": 30,
++   "n_tasks": 10,
++   "acceptance_taskw": 0.9,
++   "acceptance_minw": 0.9259259259259259,
++   "det_completion": 1.0,
++   "critical_error_rate": 0.0,
++   "quality_mean": 85.69444444444444,
++   "quality_sd": 11.378487914859686,
++   "timeout_rate": 0.0,
++   "cost_mean": 0.9055274533333333,
++   "cost_sd": 0.258626810400623,
++   "cost_per_accepted": 1.0061416148148148,
++   "wall_median_s": 218.8,
++   "tool_calls_mean": 17.2,
++   "tool_errors_mean": 0.8666666666666667,
++   "app_transitions_mean": 9.3,
++   "abstention_rate": 0.13333333333333333
++  },
++  {
++   "arm": "A4",
++   "n_runs": 30,
++   "n_tasks": 10,
++   "acceptance_taskw": 0.8333333333333333,
++   "acceptance_minw": 0.8436213991769548,
++   "det_completion": 0.9666666666666666,
++   "critical_error_rate": 0.0,
++   "quality_mean": 84.79166666666667,
++   "quality_sd": 10.586687177880476,
++   "timeout_rate": 0.0,
++   "cost_mean": 0.9257952333333334,
++   "cost_sd": 0.22072943537881048,
++   "cost_per_accepted": 1.11095428,
++   "wall_median_s": 230.15,
++   "tool_calls_mean": 18.8,
++   "tool_errors_mean": 2.0,
++   "app_transitions_mean": 9.266666666666667,
++   "abstention_rate": 0.1
++  }
++ ],
++ "contrasts": [
++  {
++   "contrast": "A3-A1",
++   "kind": "primary",
++   "outcome": "S",
++   "estimate": 0.03333333333333334,
++   "ci_lo": 0.0,
++   "ci_hi": 0.1,
++   "perm_p": 1.0,
++   "J": 10,
++   "estimate_minutes_weighted": 0.041152263374485604,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A3-A1",
++   "kind": "primary",
++   "outcome": "D",
++   "estimate": 0.03333333333333334,
++   "ci_lo": 0.0,
++   "ci_hi": 0.1,
++   "perm_p": 1.0,
++   "J": 10,
++   "estimate_minutes_weighted": 0.041152263374485604,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A3-A1",
++   "kind": "primary",
++   "outcome": "E",
++   "estimate": -0.03333333333333333,
++   "ci_lo": -0.1,
++   "ci_hi": 0.0,
++   "perm_p": 1.0,
++   "J": 10,
++   "estimate_minutes_weighted": -0.0411522633744856,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A3-A1",
++   "kind": "primary",
++   "outcome": "quality",
++   "estimate": 3.3472222222222205,
++   "ci_lo": -0.8055555555555592,
++   "ci_hi": 9.555555555555554,
++   "perm_p": 0.29985,
++   "J": 10,
++   "estimate_minutes_weighted": 4.571330589849107,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A1-A0",
++   "kind": "secondary",
++   "outcome": "S",
++   "estimate": 0.8666666666666666,
++   "ci_lo": 0.6666666666666666,
++   "ci_hi": 1.0,
++   "perm_p": 0.0041,
++   "J": 10,
++   "estimate_minutes_weighted": 0.8847736625514403,
++   "holm_p": 0.012300000000000002
++  },
++  {
++   "contrast": "A1-A0",
++   "kind": "secondary",
++   "outcome": "D",
++   "estimate": 0.9666666666666666,
++   "ci_lo": 0.8999999999999998,
++   "ci_hi": 1.0,
++   "perm_p": 0.00225,
++   "J": 10,
++   "estimate_minutes_weighted": 0.9588477366255144,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A1-A0",
++   "kind": "secondary",
++   "outcome": "E",
++   "estimate": -0.16666666666666669,
++   "ci_lo": -0.4666666666666667,
++   "ci_hi": 0.06666666666666667,
++   "perm_p": 0.49935,
++   "J": 10,
++   "estimate_minutes_weighted": -0.1440329218106996,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A1-A0",
++   "kind": "secondary",
++   "outcome": "quality",
++   "estimate": 54.95833333333333,
++   "ci_lo": 40.44375,
++   "ci_hi": 68.23611111111111,
++   "perm_p": 0.0019,
++   "J": 10,
++   "estimate_minutes_weighted": 57.65946502057613,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A4-A3",
++   "kind": "secondary",
++   "outcome": "S",
++   "estimate": -0.06666666666666668,
++   "ci_lo": -0.16666666666666669,
++   "ci_hi": 0.0,
++   "perm_p": 0.499,
++   "J": 10,
++   "estimate_minutes_weighted": -0.08230452674897121,
++   "holm_p": 0.998
++  },
++  {
++   "contrast": "A4-A3",
++   "kind": "secondary",
++   "outcome": "D",
++   "estimate": -0.03333333333333334,
++   "ci_lo": -0.1,
++   "ci_hi": 0.0,
++   "perm_p": 1.0,
++   "J": 10,
++   "estimate_minutes_weighted": -0.041152263374485604,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A4-A3",
++   "kind": "secondary",
++   "outcome": "E",
++   "estimate": 0.0,
++   "ci_lo": 0.0,
++   "ci_hi": 0.0,
++   "perm_p": 1.0,
++   "J": 10,
++   "estimate_minutes_weighted": 0.0,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A4-A3",
++   "kind": "secondary",
++   "outcome": "quality",
++   "estimate": -0.9027777777777757,
++   "ci_lo": -2.7086805555555578,
++   "ci_hi": 0.9725694444444483,
++   "perm_p": 0.39515,
++   "J": 10,
++   "estimate_minutes_weighted": -1.392318244170095,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A2-A1",
++   "kind": "secondary",
++   "outcome": "S",
++   "estimate": 0.03333333333333334,
++   "ci_lo": -0.06666666666666668,
++   "ci_hi": 0.13333333333333336,
++   "perm_p": 1.0,
++   "J": 10,
++   "estimate_minutes_weighted": 0.024691358024691353,
++   "holm_p": 1.0
++  },
++  {
++   "contrast": "A2-A1",
++   "kind": "secondary",
++   "outcome": "D",
++   "estimate": 0.0,
++   "ci_lo": -0.1,
++   "ci_hi": 0.1,
++   "perm_p": 1.0,
++   "J": 10,
++   "estimate_minutes_weighted": 0.0,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A2-A1",
++   "kind": "secondary",
++   "outcome": "E",
++   "estimate": -0.03333333333333333,
++   "ci_lo": -0.1,
++   "ci_hi": 0.0,
++   "perm_p": 1.0,
++   "J": 10,
++   "estimate_minutes_weighted": -0.0411522633744856,
++   "holm_p": NaN
++  },
++  {
++   "contrast": "A2-A1",
++   "kind": "secondary",
++   "outcome": "quality",
++   "estimate": 2.625000000000001,
++   "ci_lo": -1.75,
++   "ci_hi": 8.792361111111102,
++   "perm_p": 0.5335,
++   "J": 10,
++   "estimate_minutes_weighted": 2.9646776406035653,
++   "holm_p": NaN
++  }
++ ],
++ "mixed_logit_S": {
++  "model": "cluster-robust logit (arm dummies, no intercept), clustered by scenario",
++  "params": {
++   "A0": {
++    "logit": -23.56606852345012,
++    "se_cluster": 0.33789975617634327,
++    "p": 5.82621463897232e-11
++   },
++   "A1": {
++    "logit": 1.8718021769015918,
++    "se_cluster": 0.8933372364778842,
++    "p": 0.8666666666666667
++   },
++   "A2": {
++    "logit": 2.1972245773362182,
++    "se_cluster": 0.8013385623960502,
++    "p": 0.8999999999999999
++   },
++   "A3": {
++    "logit": 2.1972245773362196,
++    "se_cluster": 1.1263325205221877,
++    "p": 0.8999999999999999
++   },
++   "A4": {
++    "logit": 1.609437912434101,
++    "se_cluster": 0.7476676377587332,
++    "p": 0.8333333333333334
++   }
++  }
++ },
++ "survival": {
++  "A0": {
++   "median_s": 153.3,
++   "n": 30,
++   "censored": 0,
++   "p_done_600": 1.0,
++   "p_done_1200": 1.0
++  },
++  "A1": {
++   "median_s": 216.8,
++   "n": 30,
++   "censored": 0,
++   "p_done_600": 1.0,
++   "p_done_1200": 1.0
++  },
++  "A2": {
++   "median_s": 213.8,
++   "n": 30,
++   "censored": 0,
++   "p_done_600": 1.0,
++   "p_done_1200": 1.0
++  },
++  "A3": {
++   "median_s": 217.8,
++   "n": 30,
++   "censored": 0,
++   "p_done_600": 1.0,
++   "p_done_1200": 1.0
++  },
++  "A4": {
++   "median_s": 228.8,
++   "n": 30,
++   "censored": 0,
++   "p_done_600": 1.0,
++   "p_done_1200": 1.0
++  }
++ },
++ "recovery": {
++  "n_A4": 30,
++  "n_failed_first_selfcheck": 0,
++  "n_recovery_attempted": 0,
++  "n_recovered": 0,
++  "ARI": null,
++  "acceptance_given_recovery": null,
++  "mean_recovery_cost": 0.0
++ },
++ "agreement": {
++  "krippendorff_alpha_interval": 0.9730624740153422,
++  "pairwise_pearson": {
++   "0": {
++    "0": 1.0,
++    "1": 0.964,
++    "2": 0.966
++   },
++   "1": {
++    "0": 0.964,
++    "1": 1.0,
++    "2": 0.99
++   },
++   "2": {
++    "0": 0.966,
++    "1": 0.99,
++    "2": 1.0
++   }
++  },
++  "n_runs": 150
++ },
++ "models": [
++  "claude-opus-5-5"
++ ],
++ "claude_code_versions": []
++}
+ \ No newline at end of file

added analysis/derived/recovery_experiment.json +18 −0

++{
++ "ari": {
++  "n_A4_interrupted": 20,
++  "n_recovery_attempted": 20,
++  "n_selfcheck_pass_final": 20,
++  "ARI": 1.0,
++  "acceptance_after_recovery": 0.8421052631578947,
++  "recovery_cost_mean": 0.8632354999999998,
++  "recovery_wall_mean": 227.33
++ },
++ "contrast_A4int_minus_A3int_S": {
++  "estimate": 0.8,
++  "ci_lo": 0.55,
++  "ci_hi": 0.95,
++  "perm_p": 0.00415,
++  "J": 10
++ }
++}
+ \ No newline at end of file

modified analysis/econometrics/estimate.py +21 −1

				`@@ -12,12 +12,32 @@ CONTRASTS = [("A3", "A1", "primary"), ("A1", "A0", "secondary"), ("A4", "A3", "s`
12		12
13	def load(tag, q):	13	def load(tag, q):
14	df = pd.read_parquet(os.path.join(REPO, "data", "validated", f"runs_{tag}.parquet"))	14	df = pd.read_parquet(os.path.join(REPO, "data", "validated", f"runs_{tag}.parquet"))
15	− df = df[df["status"] == "evaluated"].copy()	15	+ df = df[df["status"].isin(["collected", "evaluated"])].copy() # metrics are computed before the run is marked evaluated
16	df["S"] = ((df["det_completion"].astype(bool)) & (~df["critical_error"].astype(bool)) & (df["quality"].astype(float) >= q)).astype(float)	16	df["S"] = ((df["det_completion"].astype(bool)) & (~df["critical_error"].astype(bool)) & (df["quality"].astype(float) >= q)).astype(float)
17	df.loc[df["quality"].isna(), "S"] = np.nan	17	df.loc[df["quality"].isna(), "S"] = np.nan
18	df["D"] = df["det_completion"].astype(float); df["E"] = df["critical_error"].astype(float)	18	df["D"] = df["det_completion"].astype(float); df["E"] = df["critical_error"].astype(float)
19	df["C"] = df["total_cost_usd"].astype(float); df["T"] = df["wall_total_s"].astype(float)	19	df["C"] = df["total_cost_usd"].astype(float); df["T"] = df["wall_total_s"].astype(float)
20	df["censored"] = df["timed_out"].astype(bool)	20	df["censored"] = df["timed_out"].astype(bool)
		21	+ # Killed sessions emit no `result` event, so their marginal cost is unobserved (cost 0 recorded). Impute it from the session's
		22	+ # token counts with per-token prices fitted by least squares on the completed runs of the same model (pricing is linear).
		23	+ tok = df["tokens"].apply(lambda x: json.loads(x) if isinstance(x, str) else (x or {}))
		24	+ X = pd.DataFrame({"input": tok.apply(lambda t: t.get("input", 0)), "output": tok.apply(lambda t: t.get("output", 0)),
		25	+ "cache_read": tok.apply(lambda t: t.get("cache_read", 0)), "cache_create": tok.apply(lambda t: t.get("cache_create", 0))}, index=df.index).astype(float)
		26	+ df["cost_observed"] = df["C"]; df["cost_imputed_flag"] = False
		27	+ # prices are fitted on the completed pilot runs of the same model (the recovery stage has no completed first session)
		28	+ try:
		29	+ ref = pd.read_parquet(os.path.join(REPO, "data", "validated", "runs_pilot.parquet")); ref = ref[ref["cost_usd"].fillna(0) > 0]
		30	+ except Exception: ref = df[df["cost_usd"].fillna(0) > 0] # noqa: BLE001
		31	+ rtok = ref["tokens"].apply(lambda x: json.loads(x) if isinstance(x, str) else (x or {}))
		32	+ RX = pd.DataFrame({"input": rtok.apply(lambda t: t.get("input", 0)), "output": rtok.apply(lambda t: t.get("output", 0)), "cache_read": rtok.apply(lambda t: t.get("cache_read", 0)), "cache_create": rtok.apply(lambda t: t.get("cache_create", 0))}, index=ref.index).astype(float)
		33	+ for mdl, g in df.groupby("model"):
		34	+ fit = ref[ref["model"] == mdl]
		35	+ miss = g[(g["cost_usd"].fillna(0) == 0) & g["censored"]]
		36	+ if len(fit) >= 5 and len(miss):
		37	+ beta, *_ = np.linalg.lstsq(RX.loc[fit.index].values, fit["cost_usd"].values, rcond=None)
		38	+ imput = X.loc[miss.index].values @ beta
		39	+ df.loc[miss.index, "C"] = np.maximum(0, imput) + df.loc[miss.index, "recovery_cost_usd"].fillna(0).astype(float)
		40	+ df.loc[miss.index, "cost_imputed_flag"] = True
21	return df	41	return df
22		42
23	def task_means(df, col, arm):	43	def task_means(df, col, arm):

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added analysis/robustness/audit_pilot.py +62 −0

++"""Phase 5 audit material (Agent I input): failure anatomy, critical violations, tool-policy compliance (denied calls), abstentions,
++portal usage, A0 deliverable substitutions, judge-vs-deterministic disagreement. Writes analysis/tables/audit_*.csv and prints a summary.
++Usage: .venv/bin/python analysis/robustness/audit_pilot.py --tag pilot"""
++from __future__ import annotations
++import argparse, json, os, sqlite3, collections
++import pandas as pd
++REPO = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")); TAB = os.path.join(REPO, "analysis", "tables")
++DB = os.path.join(REPO, "data", "raw", "wp42.sqlite")
++
++def main():
++    ap = argparse.ArgumentParser(); ap.add_argument("--tag", default="pilot"); a = ap.parse_args()
++    con = sqlite3.connect(DB); con.row_factory = sqlite3.Row
++    runs = {r["run_id"]: dict(r) for r in con.execute("SELECT * FROM runs WHERE stage=?", (a.tag,))}
++    rec = {r["run_id"]: json.loads(r["receipt"]) for r in con.execute("SELECT c.run_id, receipt FROM receipts c JOIN runs r USING(run_id) WHERE r.stage=?", (a.tag,))}
++    met = {r["run_id"]: json.loads(r["metrics"]) for r in con.execute("SELECT m.run_id, metrics FROM metrics m JOIN runs r USING(run_id) WHERE r.stage=?", (a.tag,))}
++    # 1. failure anatomy: failed criteria and violations per run
++    rows = []
++    for rid, rc in rec.items():
++        failed = [c["id"] for c in rc.get("required_criteria", []) if not c["passed"]]
++        viol = [v["id"] for v in rc.get("critical_violations", [])]
++        m = met.get(rid, {}); q = m.get("quality")
++        rows.append({"run_id": rid, "task_id": rc["task_id"], "arm": runs[rid]["arm"], "rep": runs[rid]["rep"], "det": rc["det_completion"], "det_score": rc["det_score"], "failed_criteria": ";".join(failed), "violations": ";".join(viol),
++                     "quality": q, "accepted": bool(rc["det_completion"] and not viol and q is not None and q >= 70), "completion_status": m.get("completion_status"), "n_questions": m.get("n_questions"), "abstention_justified": (rc.get("abstention") or {}).get("justified"), "result": runs[rid]["result_subtype"], "turns": runs[rid]["num_turns"], "cost": m.get("total_cost_usd")})
++    df = pd.DataFrame(rows).sort_values(["task_id", "arm", "rep"]); df.to_csv(os.path.join(TAB, f"audit_failures_{a.tag}.csv"), index=False)
++    # 2. violations by type × arm
++    vt = collections.Counter()
++    for r in rows:
++        for v in filter(None, r["violations"].split(";")): vt[(r["arm"], v)] += 1
++    pd.DataFrame([{"arm": k[0], "violation": k[1], "n": n} for k, n in sorted(vt.items())]).to_csv(os.path.join(TAB, f"audit_violations_{a.tag}.csv"), index=False)
++    # 3. denied tool calls (policy enforcement) and tool families per arm from events
++    ev = pd.DataFrame([dict(r) for r in con.execute("SELECT e.run_id, e.event_type, e.tool_name, e.summary, e.error_class FROM events e JOIN runs r USING(run_id) WHERE r.stage=?", (a.tag,))])
++    ev["arm"] = ev["run_id"].map(lambda x: runs[x]["arm"])
++    denied = ev[ev["summary"].str.contains("denied", na=False) & (ev["event_type"] == "user")]
++    den = denied.groupby("arm").size().rename("denied_calls").reset_index(); den.to_csv(os.path.join(TAB, f"audit_denied_{a.tag}.csv"), index=False)
++    denied_examples = denied.groupby("arm")["summary"].apply(lambda s: s.str[:160].head(3).tolist())
++    fam = collections.Counter()
++    for rid, m in met.items():
++        for f, n in (m.get("by_family") or {}).items(): fam[(runs[rid]["arm"], f)] += n
++    pd.DataFrame([{"arm": k[0], "family": k[1], "calls": n} for k, n in sorted(fam.items())]).to_csv(os.path.join(TAB, f"audit_families_{a.tag}.csv"), index=False)
++    # 4. portal usage (A3/A4): submissions present
++    portal = []
++    for rid in runs:
++        p = os.path.join(REPO, "data", "raw", "runs", rid, "out", "portal_submissions.json")
++        portal.append({"run_id": rid, "arm": runs[rid]["arm"], "portal_submission": os.path.exists(p)})
++    pdf = pd.DataFrame(portal); pu = pdf.groupby("arm")["portal_submission"].mean().reset_index(); pu.to_csv(os.path.join(TAB, f"audit_portal_{a.tag}.csv"), index=False)
++    # 5. A0 substitutions: which files did A0 produce
++    a0 = []
++    for rid in [r for r in runs if runs[r]["arm"] == "A0"]:
++        out = os.path.join(REPO, "data", "raw", "runs", rid, "out")
++        a0.append({"run_id": rid, "files": ";".join(sorted(os.listdir(out))) if os.path.isdir(out) else ""})
++    pd.DataFrame(a0).to_csv(os.path.join(TAB, f"audit_a0_outputs_{a.tag}.csv"), index=False)
++    # 6. det vs judges
++    jd = df.copy(); jd["judge_pass"] = jd["quality"] >= 70
++    ct = pd.crosstab(jd["det"], jd["judge_pass"]); ct.to_csv(os.path.join(TAB, f"audit_det_vs_judge_{a.tag}.csv"))
++    print("runs", len(df), "| accepted by arm:", df.groupby("arm")["accepted"].mean().round(2).to_dict())
++    print("det fail by arm:", df.groupby("arm")["det"].apply(lambda s: int((~s.astype(bool)).sum())).to_dict())
++    print("violations:", dict(vt)); print("denied calls by arm:", den.to_dict("records")); print("denied examples:", denied_examples.to_dict())
++    print("portal submissions by arm:", pu.to_dict("records")); print("det vs judge>=70:\n", ct)
++    print("failed runs:\n", df[~df["det"].astype(bool) | (df["violations"] != "")][["run_id", "det_score", "failed_criteria", "violations", "quality", "completion_status"]].to_string())
++
++if __name__ == "__main__":
++    main()

added analysis/robustness/economic_sensitivity.py +57 −0

++"""Economic sensitivity (mandate §12/§14 fig. 15) and supervision proxy (fig. 10).
++- Cost per accepted deliverable by arm under API price multipliers (0.5x, 1x, 2x, 4x) and with a fully-loaded overhead (controller + judges + node time at an assumed node cost).
++- Autonomy-Adjusted Productivity: accepted deliverables per 100 USD of (API cost + wage × human minutes), human minutes = 5 min per unanswered question (assumption) + interventions, wage ∈ {40, 80, 120} CAD/h.
++- Human-cost benchmark (ASSUMPTION, not measured): the scenario authors' professional_minutes_estimate × wage, for comparison only.
++Outputs table11_economic_sensitivity.csv, table12_supervision.csv, fig15, fig10."""
++import os, sys, json
++import numpy as np, pandas as pd
++import matplotlib; matplotlib.use("Agg"); import matplotlib.pyplot as plt
++REPO = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")); sys.path.insert(0, os.path.join(REPO, "analysis", "econometrics")); sys.path.insert(0, os.path.join(REPO, "analysis", "figures"))
++from estimate import load
++from make_figures import COL, LABEL, ARMS, save
++plt.rcParams.update({"font.family": "serif", "font.size": 9, "axes.spines.top": False, "axes.spines.right": False, "axes.grid": True, "grid.color": "#e6e6e6", "grid.linewidth": 0.5, "legend.frameon": False})
++
++def main():
++    df = load("pilot", 70); jd = pd.read_parquet(os.path.join(REPO, "data", "validated", "judgments_pilot.parquet"))
++    judge_cost = jd.groupby("run_id")["cost_usd"].sum(); df["judge_cost"] = df["run_id"].map(judge_cost).fillna(0)
++    tasks = {t: json.load(open(os.path.join(REPO, "benchmark", "scenarios", t, "task.json"))) for t in df.task_id.unique()}
++    df["prof_min"] = df.task_id.map({t: v["professional_minutes_estimate"] for t, v in tasks.items()})
++    df["questions"] = df["n_questions"].fillna(0).astype(float); df["H_min"] = df["human_intervention_min"].astype(float) + 5.0 * df["questions"]
++    rows = []
++    for arm in ARMS:
++        d = df[df.arm == arm]; acc = d["S"].sum()
++        for mult in (0.5, 1.0, 2.0, 4.0):
++            api = d["C"].sum() * mult
++            rows.append({"arm": arm, "price_multiplier": mult, "cost_per_accepted_api": api / acc if acc else np.nan,
++                         "cost_per_accepted_loaded": (api + d["judge_cost"].sum() + 0.05 * d["wall_total_s"].sum() / 3600 * 1.0) / acc if acc else np.nan})   # +1 USD/node-hour assumption
++        for wage in (40, 80, 120):
++            spend = d["C"].sum() + wage / 60 * d["H_min"].sum()
++            rows.append({"arm": arm, "wage_cad_h": wage, "accepted_per_100usd_aap": 100 * acc / spend if spend else np.nan, "mean_H_min": d["H_min"].mean()})
++    t11 = pd.DataFrame(rows); t11.to_csv(os.path.join(REPO, "analysis", "tables", "table11_economic_sensitivity_pilot.csv"), index=False)
++    sup = df.groupby("arm").agg(n=("S", "size"), abstention_rate=("abstention_status", lambda s: s.isin(["needs_clarification", "abstained"]).mean()), mean_questions=("questions", "mean"),
++                                justified_abstention_rate=("abstention_justified", lambda s: pd.Series(s).fillna(False).astype(bool).mean()), mean_H_min=("H_min", "mean")).reset_index()
++    sup.to_csv(os.path.join(REPO, "analysis", "tables", "table12_supervision_pilot.csv"), index=False)
++    # human-cost benchmark (assumption)
++    hb = pd.DataFrame([{"task_id": t, "prof_minutes": v["professional_minutes_estimate"], **{f"human_cost_{w}": v["professional_minutes_estimate"] / 60 * w for w in (40, 80, 120)}} for t, v in tasks.items()])
++    hb.to_csv(os.path.join(REPO, "analysis", "tables", "table13_human_cost_assumption.csv"), index=False)
++    # fig15: cost per accepted deliverable vs price multiplier
++    fig, ax = plt.subplots(figsize=(5.0, 3.0))
++    for arm in ARMS:
++        d = t11[(t11.arm == arm) & t11["price_multiplier"].notna()]
++        if d["cost_per_accepted_api"].notna().any(): ax.plot(d["price_multiplier"], d["cost_per_accepted_api"], marker="o", color=COL[arm], label=LABEL[arm], linewidth=1.6)
++    ax.set_xscale("log"); ax.set_xticks([0.5, 1, 2, 4]); ax.set_xticklabels(["0.5×", "1×", "2×", "4×"]); ax.set_xlabel("API price multiplier (relative to November 2026 list prices)"); ax.set_ylabel("marginal API cost per accepted deliverable (USD)")
++    ax.axhspan(hb["human_cost_40"].min(), hb["human_cost_120"].max(), color="#c3c2b7", alpha=0.25, lw=0); ax.text(0.52, hb["human_cost_40"].min() * 1.05, "authors' professional-time estimate × 40–120 CAD/h (assumption)", fontsize=6, color="#52514e")
++    ax.set_yscale("log"); ax.legend(fontsize=7); save(fig, "fig15_economic_sensitivity_pilot")
++    # fig10: supervision proxy
++    fig, ax = plt.subplots(figsize=(4.6, 2.8)); x = np.arange(len(sup))
++    ax.bar(x - 0.2, sup["abstention_rate"], width=0.4, color=[COL[a] for a in sup.arm], label="runs flagging questions / abstaining")
++    ax.bar(x + 0.2, sup["justified_abstention_rate"], width=0.4, facecolor="none", edgecolor="#444", linewidth=0.9, label="of which justified by the scenario design")
++    ax.set_xticks(x); ax.set_xticklabels(sup.arm); ax.set_ylabel("share of runs"); ax.set_ylim(0, 1.05); ax.legend(fontsize=7, loc="upper right"); save(fig, "fig10_supervision_pilot")
++    # fig13 (replaces the perturbation figure, not run): model sensitivity on A3
++    t9 = pd.read_csv(os.path.join(REPO, "analysis", "tables", "table9_model_sensitivity.csv"))
++    fig, ax = plt.subplots(figsize=(4.6, 2.8)); cols = {"sonnet": "#2a78d6", "opus": "#eb6834", "fable": "#1baf7a"}
++    for _, r in t9.iterrows():
++        ax.scatter(r["cost_mean"], r["acceptance_taskw"], s=90, color=cols.get(r["model"], "#444"), edgecolor="#222"); ax.annotate(f"{r['model']}\nQ={r['quality_mean']:.0f}", (r["cost_mean"], r["acceptance_taskw"]), textcoords="offset points", xytext=(6, -14), fontsize=7)
++    ax.set_xscale("log"); ax.set_xlabel("mean marginal API cost per run (USD, log)"); ax.set_ylabel("acceptance rate (arm A3)"); ax.set_ylim(0.5, 1.0); save(fig, "fig13_model_sensitivity")
++    print(t11.round(3).to_string()); print(sup.round(3).to_string())
++if __name__ == "__main__": main()

added analysis/robustness/recovery_experiment.py +29 −0

++"""Exploratory recovery experiment (A-011): A3 vs A4 with the first session interrupted at 120 s.
++ARI = P(final self-check pass | interrupted, A4); acceptance after recovery vs the interrupted A3 control and vs uninterrupted A3/A4 (pilot)."""
++import os, sys, json
++import numpy as np, pandas as pd
++REPO = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")); sys.path.insert(0, os.path.join(REPO, "analysis", "econometrics"))
++from estimate import load, cluster_bootstrap, permutation_p
++def main():
++    rec = load("recovery", 70); pilot = load("pilot", 70)
++    rows = []
++    for arm, g in rec.groupby("arm"):
++        acc = g["S"].sum()
++        rows.append({"condition": f"{arm} interrupted@120s", "n": len(g), "acceptance": g.groupby("task_id")["S"].mean().mean(), "det": g["D"].mean(), "quality": g["quality"].mean(),
++                     "critical": g["E"].mean(), "cost_mean": g["C"].mean(), "cost_per_accepted": g["C"].sum() / acc if acc else np.nan, "wall_total_median": g["wall_total_s"].median(),
++                     "recovery_attempted": g["recovery_attempted"].astype(bool).mean(), "selfcheck_first": g["selfcheck_pass_first"].mean(), "selfcheck_final": g["selfcheck_pass_final"].mean()})
++    for arm in ("A3", "A4"):
++        g = pilot[pilot.arm == arm]; acc = g["S"].sum()
++        rows.append({"condition": f"{arm} uninterrupted (pilot)", "n": len(g), "acceptance": g.groupby("task_id")["S"].mean().mean(), "det": g["D"].mean(), "quality": g["quality"].mean(), "critical": g["E"].mean(),
++                     "cost_mean": g["C"].mean(), "cost_per_accepted": g["C"].sum() / acc if acc else np.nan, "wall_total_median": g["wall_total_s"].median(), "recovery_attempted": g["recovery_attempted"].astype(bool).mean(),
++                     "selfcheck_first": g["selfcheck_pass_first"].mean(), "selfcheck_final": g["selfcheck_pass_final"].mean()})
++    t = pd.DataFrame(rows); t.to_csv(os.path.join(REPO, "analysis", "tables", "table10_recovery.csv"), index=False)
++    a4 = rec[rec.arm == "A4"]; interrupted = a4[a4["recovery_attempted"].astype(bool)]
++    ari = {"n_A4_interrupted": int(len(a4)), "n_recovery_attempted": int(len(interrupted)), "n_selfcheck_pass_final": int((interrupted["selfcheck_pass_final"] == 1).sum()),
++           "ARI": float((interrupted["selfcheck_pass_final"] == 1).mean()) if len(interrupted) else None, "acceptance_after_recovery": float(interrupted["S"].mean()) if len(interrupted) else None,
++           "recovery_cost_mean": float(a4["recovery_cost_usd"].fillna(0).mean()), "recovery_wall_mean": float(a4.get("wall_total_s", pd.Series()).mean() if len(a4) else 0)}
++    rng = np.random.default_rng(7); est, lo, hi, J = cluster_bootstrap(rec, "S", "A4", "A3", 5000, rng); p = permutation_p(rec, "S", "A4", "A3", 20000, rng)
++    out = {"ari": ari, "contrast_A4int_minus_A3int_S": {"estimate": est, "ci_lo": lo, "ci_hi": hi, "perm_p": p, "J": J}}
++    json.dump(out, open(os.path.join(REPO, "analysis", "derived", "recovery_experiment.json"), "w"), indent=1)
++    print(t.round(3).to_string()); print(json.dumps(out, indent=1))
++if __name__ == "__main__": main()

added analysis/robustness/sensitivity_models.py +28 −0

++"""Model sensitivity: arm A3 under claude-opus-5-5 (pilot, R=3) vs claude-sonnet-5-5 and claude-fable-5-1 (stage sensitivity, R=2).
++Outputs analysis/tables/table9_model_sensitivity.csv and per-scenario table."""
++import os, sys, json
++import numpy as np, pandas as pd
++REPO = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")); sys.path.insert(0, os.path.join(REPO, "analysis", "econometrics"))
++from estimate import load, cluster_bootstrap, permutation_p
++def main():
++    pilot = load("pilot", 70); sens = load("sensitivity", 70)
++    a3 = pilot[pilot.arm == "A3"].copy(); a3["model_tag"] = "opus"
++    sens["model_tag"] = sens["model"].map({"claude-sonnet-5-5": "sonnet", "claude-fable-5-1": "fable"})
++    df = pd.concat([a3, sens]); rows = []
++    for m, g in df.groupby("model_tag"):
++        acc = g["S"].sum()
++        rows.append({"model": m, "n_runs": len(g), "acceptance_taskw": g.groupby("task_id")["S"].mean().mean(), "det_completion": g["D"].mean(), "critical_error_rate": g["E"].mean(),
++                     "quality_mean": g["quality"].mean(), "cost_mean": g["C"].mean(), "cost_per_accepted": g["C"].sum() / acc if acc else np.nan, "wall_median_s": g["T"].median(),
++                     "tool_calls_mean": g["tool_calls"].mean(), "timeout_rate": g["censored"].mean()})
++    t = pd.DataFrame(rows); t.to_csv(os.path.join(REPO, "analysis", "tables", "table9_model_sensitivity.csv"), index=False)
++    # contrasts vs opus (scenario-cluster bootstrap on S and quality); reuse helpers by relabelling arm := model_tag
++    d2 = df.copy(); d2["arm"] = d2["model_tag"]; rng = np.random.default_rng(42); crows = []
++    for m in ("sonnet", "fable"):
++        for col in ("S", "D", "quality", "C"):
++            est, lo, hi, J = cluster_bootstrap(d2, col, m, "opus", 5000, rng); p = permutation_p(d2, col, m, "opus", 20000, rng)
++            crows.append({"contrast": f"{m}-opus", "outcome": col, "estimate": est, "ci_lo": lo, "ci_hi": hi, "perm_p": p, "J": J})
++    c = pd.DataFrame(crows); c.to_csv(os.path.join(REPO, "analysis", "tables", "table9b_model_contrasts.csv"), index=False)
++    per = df.groupby(["task_id", "model_tag"]).agg(acceptance=("S", "mean"), quality=("quality", "mean"), cost=("C", "mean")).reset_index()
++    per.to_csv(os.path.join(REPO, "analysis", "tables", "table9c_model_by_scenario.csv"), index=False)
++    print(t.round(3).to_string()); print(c.round(3).to_string())
++if __name__ == "__main__": main()

added analysis/tables/audit_a0_outputs_pilot.csv +31 −0

++run_id,files
++PROC-01_A0_r1,COMPLETION.json;bid_evaluation.md;bid_evaluation.xml;recommendation_memo.md
++RES-01_A0_r1,COMPLETION.json;code;reference_check.csv;report.md
++ACC-01_A0_r2,COMPLETION.json;management_report.md;reconciliation_BankDetail.csv;reconciliation_Discrepancies.csv;reconciliation_Monthly.csv
++ADM-01_A0_r2,COMPLETION.json;action_plan.md;action_plan_Calendar.csv;action_plan_Tasks.csv;briefing_note.md;filing;replies
++HR-01_A0_r2,COMPLETION.json;hr_summary.md;letters;payroll_adjustments.csv;payroll_adjustments_weekly_hours.csv;test_probe.txt
++RE-01_A0_r2,COMPLETION.json;adjustment_grid.csv;appraisal_report.md
++PROC-01_A0_r2,COMPLETION.json;bid_evaluation.xml;recommendation_memo.md;test.txt
++RE-01_A0_r1,COMPLETION.json;comparable_screening.md
++BI-01_A0_r2,COMPLETION.json;code
++LEGAL-01_A0_r2,COMPLETION.json;issues_register.csv;review_memo.md
++ADM-01_A0_r1,COMPLETION.json;action_plan_Calendar.csv;action_plan_Tasks.csv;briefing_note.md;filing;replies
++HR-01_A0_r1,COMPLETION.json;hr_summary.md;letters;payroll_adjustments.csv;payroll_adjustments_weekly_hours.csv;test_probe.md
++FIN-01_A0_r1,COMPLETION.json;dcf_model.md;investment_memo.md
++ACC-01_A0_r1,COMPLETION.json;management_report.md;reconciliation.csv;reconciliation_Discrepancies.csv
++BI-01_A0_r1,COMPLETION.json;code
++BANK-01_A0_r2,COMPLETION.json;credit_memo.md;ratio_analysis.csv
++RES-01_A0_r2,COMPLETION.json;code;report.md;tables
++BANK-01_A0_r1,COMPLETION.json;credit_memo.md;ratio_analysis.csv
++LEGAL-01_A0_r1,COMPLETION.json;issues_register.csv;review_memo.md
++FIN-01_A0_r2,COMPLETION.json;dcf_model.md;investment_memo.md
++LEGAL-01_A0_r3,COMPLETION.json;issues_register.csv;playbook_checklist.csv;review_memo.md
++FIN-01_A0_r3,COMPLETION.json;investment_memo.md
++RE-01_A0_r3,COMPLETION.json;adjustment_grid.csv;appraisal_report.md
++PROC-01_A0_r3,COMPLETION.json;bid_evaluation.csv;recommendation_memo.md
++ADM-01_A0_r3,COMPLETION.json;action_plan.md;briefing_note.md;filing;replies
++BANK-01_A0_r3,COMPLETION.json;credit_memo.md;ratio_analysis.csv
++RES-01_A0_r3,COMPLETION.json;code;report.md
++BI-01_A0_r3,COMPLETION.json;code
++HR-01_A0_r3,COMPLETION.json;hr_summary.md;letters;payroll_adjustments.csv;payroll_adjustments_weekly_hours.csv;test_probe.md
++ACC-01_A0_r3,COMPLETION.json;management_report.md;reconciliation_BankItems.csv;reconciliation_Discrepancies.csv;reconciliation_Monthly.csv

added analysis/tables/audit_denied_pilot.csv +4 −0

++arm,denied_calls
++A1,1
++A2,1
++A4,1

added analysis/tables/audit_det_vs_judge_pilot.csv +3 −0

++det,False,True
++False,31,2
++True,12,105

added analysis/tables/audit_failures_pilot.csv +151 −0

++run_id,task_id,arm,rep,det,det_score,failed_criteria,violations,quality,accepted,completion_status,n_questions,abstention_justified,result,turns,cost
++ACC-01_A0_r1,ACC-01,A0,1,False,0.1667,xlsx_structure;xlsx_formulas;docx_report;discrepancies_coverage;reconciled_balance_dec;total_adjustment;cash_position_three_figures,,29.583333333333332,False,needs_clarification,3,False,success,32,0.6473212
++ACC-01_A0_r2,ACC-01,A0,2,False,0.1667,xlsx_structure;xlsx_formulas;docx_report;discrepancies_coverage;reconciled_balance_dec;total_adjustment;cash_position_three_figures,,25.416666666666668,False,needs_clarification,4,False,success,35,0.7746372
++ACC-01_A0_r3,ACC-01,A0,3,False,0.1667,xlsx_structure;xlsx_formulas;docx_report;discrepancies_coverage;reconciled_balance_dec;total_adjustment;cash_position_three_figures,,26.25,False,needs_clarification,4,False,success,39,0.8091436000000001
++ACC-01_A1_r1,ACC-01,A1,1,True,1.0,,,95.41666666666667,True,completed,3,,success,28,1.3541987999999998
++ACC-01_A1_r2,ACC-01,A1,2,True,1.0,,,97.5,True,completed,1,,success,19,1.0732232000000002
++ACC-01_A1_r3,ACC-01,A1,3,True,1.0,,,92.91666666666667,True,completed,2,,success,21,0.9608876000000001
++ACC-01_A2_r1,ACC-01,A2,1,True,1.0,,,98.75,True,completed,2,,success,21,1.2220724
++ACC-01_A2_r2,ACC-01,A2,2,True,1.0,,,93.75,True,completed,2,,success,19,0.9797699999999999
++ACC-01_A2_r3,ACC-01,A2,3,True,1.0,,,75.41666666666667,True,completed,0,,success,21,0.9150716
++ACC-01_A3_r1,ACC-01,A3,1,True,1.0,,,100.0,True,completed,2,,success,22,1.2184656000000003
++ACC-01_A3_r2,ACC-01,A3,2,True,1.0,,,96.66666666666667,True,completed,2,,success,25,1.1660313999999998
++ACC-01_A3_r3,ACC-01,A3,3,True,1.0,,,100.0,True,completed,3,,success,29,1.1707763999999998
++ACC-01_A4_r1,ACC-01,A4,1,True,1.0,,,96.66666666666667,True,completed,2,,success,25,1.1326603999999998
++ACC-01_A4_r2,ACC-01,A4,2,True,1.0,,,90.41666666666667,True,completed,2,,success,29,1.1537353999999995
++ACC-01_A4_r3,ACC-01,A4,3,True,1.0,,,94.16666666666667,True,completed,3,,success,28,1.3211015999999998
++ADM-01_A0_r1,ADM-01,A0,1,False,0.4118,R1_deliverables;R3_conflicts;R4_top5;R7_briefing;R8_timezone;R9_travel,,47.083333333333336,False,completed,8,,success,81,1.5545744
++ADM-01_A0_r2,ADM-01,A0,2,False,0.4118,R1_deliverables;R3_conflicts;R4_top5;R7_briefing;R8_timezone;R9_travel,,51.25,False,completed,11,,success,80,1.6231584
++ADM-01_A0_r3,ADM-01,A0,3,False,0.4118,R1_deliverables;R3_conflicts;R4_top5;R7_briefing;R8_timezone;R9_travel,,55.833333333333336,False,needs_clarification,9,True,success,76,1.5290284
++ADM-01_A1_r1,ADM-01,A1,1,True,1.0,,,64.16666666666667,False,completed,10,,success,16,1.2258108
++ADM-01_A1_r2,ADM-01,A1,2,True,1.0,,,61.25,False,completed,12,,success,19,1.2803403999999998
++ADM-01_A1_r3,ADM-01,A1,3,True,1.0,,,62.916666666666664,False,completed,7,,success,12,1.1743472
++ADM-01_A2_r1,ADM-01,A2,1,True,1.0,,,62.083333333333336,False,completed,9,,success,15,1.0714164
++ADM-01_A2_r2,ADM-01,A2,2,True,1.0,,,70.41666666666667,True,completed,7,,success,10,1.0318544
++ADM-01_A2_r3,ADM-01,A2,3,True,1.0,,,67.5,False,completed,9,,success,16,1.1457846
++ADM-01_A3_r1,ADM-01,A3,1,True,1.0,,,59.583333333333336,False,completed,7,,success,19,1.4193666
++ADM-01_A3_r2,ADM-01,A3,2,True,1.0,,,65.83333333333333,False,completed,9,,success,20,1.4769808000000002
++ADM-01_A3_r3,ADM-01,A3,3,True,1.0,,,61.25000000000001,False,completed,8,,success,17,1.2574988
++ADM-01_A4_r1,ADM-01,A4,1,True,1.0,,,61.25,False,completed,8,,success,19,1.2477093999999997
++ADM-01_A4_r2,ADM-01,A4,2,True,1.0,,,65.83333333333333,False,completed,8,,success,20,1.2482252000000003
++ADM-01_A4_r3,ADM-01,A4,3,True,1.0,,,67.5,False,completed,7,,success,19,1.3489496
++BANK-01_A0_r1,BANK-01,A0,1,False,0.069,deliverables_present;xlsx_formulas;dscr_proforma;leverage_proforma_with_lease;risk_rating;recommendation_not_unconditional;revenue_discrepancy_flagged;lease_capitalisation;ltv;current_ratio_2025;memo_structure,,16.25,False,needs_clarification,3,False,success,26,0.47591620000000007
++BANK-01_A0_r2,BANK-01,A0,2,False,0.069,deliverables_present;xlsx_formulas;dscr_proforma;leverage_proforma_with_lease;risk_rating;recommendation_not_unconditional;revenue_discrepancy_flagged;lease_capitalisation;ltv;current_ratio_2025;memo_structure,,16.25,False,needs_clarification,3,False,success,21,0.5257702
++BANK-01_A0_r3,BANK-01,A0,3,False,0.069,deliverables_present;xlsx_formulas;dscr_proforma;leverage_proforma_with_lease;risk_rating;recommendation_not_unconditional;revenue_discrepancy_flagged;lease_capitalisation;ltv;current_ratio_2025;memo_structure,,17.5,False,needs_clarification,4,False,success,16,0.41576719999999995
++BANK-01_A1_r1,BANK-01,A1,1,True,1.0,,,95.0,True,completed,4,,success,10,0.8782425999999999
++BANK-01_A1_r2,BANK-01,A1,2,True,1.0,,,97.5,True,completed,3,,success,9,0.9325792000000002
++BANK-01_A1_r3,BANK-01,A1,3,True,1.0,,,97.5,True,completed,5,,success,12,1.032834
++BANK-01_A2_r1,BANK-01,A2,1,True,1.0,,,92.91666666666667,True,completed,4,,success,9,0.7360516
++BANK-01_A2_r2,BANK-01,A2,2,True,1.0,,,92.5,True,completed,4,,success,7,0.8021278000000001
++BANK-01_A2_r3,BANK-01,A2,3,True,1.0,,,97.5,True,completed,3,,success,9,0.8617402000000001
++BANK-01_A3_r1,BANK-01,A3,1,True,1.0,,,92.91666666666667,True,completed,4,,success,14,0.81718
++BANK-01_A3_r2,BANK-01,A3,2,True,1.0,,,92.5,True,completed,3,,success,12,0.8122035999999998
++BANK-01_A3_r3,BANK-01,A3,3,True,1.0,,,88.33333333333333,True,completed,3,,success,13,0.8980578000000001
++BANK-01_A4_r1,BANK-01,A4,1,True,1.0,,,89.58333333333333,True,completed,2,,success,15,0.8588318
++BANK-01_A4_r2,BANK-01,A4,2,True,1.0,,,93.33333333333333,True,completed,2,,success,16,0.9456506
++BANK-01_A4_r3,BANK-01,A4,3,True,1.0,,,91.66666666666667,True,completed,2,,success,18,0.8340269999999999
++BI-01_A0_r1,BI-01,A0,1,False,0.037,C01_deliverables;C02_structure_formulas;C03_chart;C04_net_revenue;C05_yoy;C06_gross_margin;C07_top10;C08_monthly;C09_regions;C10_data_quality;C11_commentary;C12_secondary_kpis;C14_on_time,,5.416666666666667,False,needs_clarification,2,False,success,14,0.9253386
++BI-01_A0_r2,BI-01,A0,2,False,0.037,C01_deliverables;C02_structure_formulas;C03_chart;C04_net_revenue;C05_yoy;C06_gross_margin;C07_top10;C08_monthly;C09_regions;C10_data_quality;C11_commentary;C12_secondary_kpis;C14_on_time,,4.583333333333333,False,needs_clarification,3,False,success,14,0.76611
++BI-01_A0_r3,BI-01,A0,3,False,0.037,C01_deliverables;C02_structure_formulas;C03_chart;C04_net_revenue;C05_yoy;C06_gross_margin;C07_top10;C08_monthly;C09_regions;C10_data_quality;C11_commentary;C12_secondary_kpis;C14_on_time,,6.25,False,needs_clarification,2,False,success,15,0.9048236
++BI-01_A1_r1,BI-01,A1,1,False,0.037,C01_deliverables;C02_structure_formulas;C03_chart;C04_net_revenue;C05_yoy;C06_gross_margin;C07_top10;C08_monthly;C09_regions;C10_data_quality;C11_commentary;C12_secondary_kpis;C14_on_time,inputs_modified_harness,3.75,False,needs_clarification,2,False,success,13,0.6842858000000002
++BI-01_A1_r2,BI-01,A1,2,True,1.0,,,73.33333333333333,True,completed,2,,success,18,0.9662652
++BI-01_A1_r3,BI-01,A1,3,True,1.0,,,72.91666666666667,True,completed,2,,success,14,0.9836679999999999
++BI-01_A2_r1,BI-01,A2,1,True,1.0,,,75.0,True,completed,2,,success,13,0.8454745999999999
++BI-01_A2_r2,BI-01,A2,2,True,1.0,,,80.41666666666667,True,completed,1,,success,19,1.0569582
++BI-01_A2_r3,BI-01,A2,3,True,1.0,,,75.41666666666667,True,completed,1,,success,17,0.9047606000000002
++BI-01_A3_r1,BI-01,A3,1,True,1.0,,,87.08333333333333,True,completed,2,,success,23,1.3251399999999998
++BI-01_A3_r2,BI-01,A3,2,True,1.0,,,74.16666666666667,True,completed,0,,success,22,0.9944262
++BI-01_A3_r3,BI-01,A3,3,True,1.0,,,72.91666666666667,True,completed,2,,success,26,1.3171925999999998
++BI-01_A4_r1,BI-01,A4,1,True,1.0,,,67.91666666666667,False,completed,1,,success,28,1.2259292
++BI-01_A4_r2,BI-01,A4,2,True,1.0,,,75.0,True,completed,2,,success,25,1.1139329999999996
++BI-01_A4_r3,BI-01,A4,3,True,1.0,,,74.16666666666667,True,completed,0,,success,22,1.1441234
++FIN-01_A0_r1,FIN-01,A0,1,False,0.0,deliverables_present;model_structure;wacc_value;enterprise_value;value_per_share;sensitivity_table;memo_content;outlier_beta_excluded;completion_valid;recommendation,,17.5,False,needs_clarification,4,False,success,15,0.348323
++FIN-01_A0_r2,FIN-01,A0,2,False,0.0,deliverables_present;model_structure;wacc_value;enterprise_value;value_per_share;sensitivity_table;memo_content;outlier_beta_excluded;completion_valid;recommendation,,20.0,False,needs_clarification,3,False,success,15,0.297777
++FIN-01_A0_r3,FIN-01,A0,3,False,0.0,deliverables_present;model_structure;wacc_value;enterprise_value;value_per_share;sensitivity_table;memo_content;outlier_beta_excluded;completion_valid;recommendation,,20.833333333333332,False,needs_clarification,4,False,success,18,0.2819248
++FIN-01_A1_r1,FIN-01,A1,1,True,1.0,,,83.75,True,completed,2,,success,15,0.8704069999999999
++FIN-01_A1_r2,FIN-01,A1,2,True,1.0,,,90.0,True,completed,1,,success,14,0.7455324
++FIN-01_A1_r3,FIN-01,A1,3,True,1.0,,,82.91666666666667,True,completed,2,,success,11,0.7689566
++FIN-01_A2_r1,FIN-01,A2,1,True,1.0,,,77.91666666666667,True,completed,1,,success,12,0.6988323999999999
++FIN-01_A2_r2,FIN-01,A2,2,True,1.0,,,82.5,True,completed,1,,success,12,0.6927183999999998
++FIN-01_A2_r3,FIN-01,A2,3,True,1.0,,,87.08333333333333,True,completed,2,,success,10,0.7991102
++FIN-01_A3_r1,FIN-01,A3,1,True,1.0,,,90.83333333333333,True,completed,1,,success,12,0.7088782
++FIN-01_A3_r2,FIN-01,A3,2,True,1.0,,,90.41666666666667,True,completed,1,,success,13,0.6977076000000001
++FIN-01_A3_r3,FIN-01,A3,3,True,1.0,,,82.08333333333333,True,completed,0,,success,15,0.6731418
++FIN-01_A4_r1,FIN-01,A4,1,True,1.0,,,83.75,True,completed,0,,success,15,0.6193339999999999
++FIN-01_A4_r2,FIN-01,A4,2,True,1.0,,,92.5,True,completed,0,,success,16,0.87707
++FIN-01_A4_r3,FIN-01,A4,3,True,1.0,,,82.5,True,completed,0,,success,15,0.6825034000000001
++HR-01_A0_r1,HR-01,A0,1,False,0.1765,deliverables_present;formulas_min;table_structure;overtime_hours;weekly_overtime_rule;holiday_eligibility;vacation_accrual;resignation_payout;missing_hire_date_question;letters_content,,37.083333333333336,False,needs_clarification,7,True,success,37,0.8788545999999999
++HR-01_A0_r2,HR-01,A0,2,False,0.1765,deliverables_present;formulas_min;table_structure;overtime_hours;weekly_overtime_rule;holiday_eligibility;vacation_accrual;resignation_payout;missing_hire_date_question;letters_content,,33.333333333333336,False,needs_clarification,7,True,success,58,0.8021521999999999
++HR-01_A0_r3,HR-01,A0,3,False,0.1765,deliverables_present;formulas_min;table_structure;overtime_hours;weekly_overtime_rule;holiday_eligibility;vacation_accrual;resignation_payout;missing_hire_date_question;letters_content,,35.833333333333336,False,needs_clarification,7,True,success,34,0.8275657999999999
++HR-01_A1_r1,HR-01,A1,1,True,1.0,,,72.91666666666667,True,needs_clarification,6,True,success,11,0.7251406
++HR-01_A1_r2,HR-01,A1,2,True,1.0,,,72.08333333333333,True,needs_clarification,5,True,success,9,0.7273792
++HR-01_A1_r3,HR-01,A1,3,True,1.0,,,75.83333333333333,True,needs_clarification,7,True,success,13,0.79254
++HR-01_A2_r1,HR-01,A2,1,True,1.0,,,76.66666666666667,True,needs_clarification,5,True,success,11,0.7625718
++HR-01_A2_r2,HR-01,A2,2,True,1.0,,,76.66666666666667,True,needs_clarification,6,True,success,13,0.8454119999999998
++HR-01_A2_r3,HR-01,A2,3,True,1.0,,,75.0,True,completed,5,,success,10,0.7553578
++HR-01_A3_r1,HR-01,A3,1,True,1.0,,,73.33333333333333,True,needs_clarification,4,True,success,14,0.7962018
++HR-01_A3_r2,HR-01,A3,2,True,1.0,,,75.83333333333333,True,needs_clarification,3,True,success,17,0.9144788000000001
++HR-01_A3_r3,HR-01,A3,3,True,1.0,,,79.58333333333333,True,needs_clarification,3,True,success,15,0.8535626
++HR-01_A4_r1,HR-01,A4,1,True,1.0,,,75.0,True,needs_clarification,2,True,success,16,0.8644146000000001
++HR-01_A4_r2,HR-01,A4,2,True,1.0,,,71.25,True,needs_clarification,2,True,success,20,1.0013897999999999
++HR-01_A4_r3,HR-01,A4,3,True,1.0,,,76.66666666666667,True,needs_clarification,5,True,success,17,0.8791875999999998
++LEGAL-01_A0_r1,LEGAL-01,A0,1,False,0.2727,deliverables_present;register_structure;issues_identified;liability_cap_issue;governing_law_issue;memo_word_count;expected_positions,too_few_issues,12.916666666666666,False,needs_clarification,5,True,success,16,0.21952
++LEGAL-01_A0_r2,LEGAL-01,A0,2,False,0.2727,deliverables_present;register_structure;issues_identified;liability_cap_issue;governing_law_issue;memo_word_count;expected_positions,too_few_issues,12.083333333333334,False,needs_clarification,5,True,success,17,0.22486319999999999
++LEGAL-01_A0_r3,LEGAL-01,A0,3,False,0.2727,deliverables_present;register_structure;issues_identified;liability_cap_issue;governing_law_issue;memo_word_count;expected_positions,too_few_issues,12.916666666666666,False,needs_clarification,4,True,success,16,0.2689974
++LEGAL-01_A1_r1,LEGAL-01,A1,1,True,1.0,,,94.16666666666667,True,needs_clarification,5,True,success,11,0.7473738000000001
++LEGAL-01_A1_r2,LEGAL-01,A1,2,True,1.0,,,91.25,True,needs_clarification,5,True,success,10,0.6583959999999999
++LEGAL-01_A1_r3,LEGAL-01,A1,3,True,1.0,,,93.33333333333333,True,completed,5,,success,11,0.7299998
++LEGAL-01_A2_r1,LEGAL-01,A2,1,True,1.0,,,90.41666666666667,True,completed,4,,success,10,0.6610614
++LEGAL-01_A2_r2,LEGAL-01,A2,2,True,1.0,,,92.08333333333333,True,completed,5,,success,10,0.6791977999999999
++LEGAL-01_A2_r3,LEGAL-01,A2,3,True,1.0,,,89.58333333333333,True,completed,6,,success,10,0.710159
++LEGAL-01_A3_r1,LEGAL-01,A3,1,True,1.0,,,92.08333333333333,True,completed,4,,success,16,0.7699973999999999
++LEGAL-01_A3_r2,LEGAL-01,A3,2,True,1.0,,,89.58333333333333,True,needs_clarification,5,True,success,15,0.7323348000000001
++LEGAL-01_A3_r3,LEGAL-01,A3,3,True,1.0,,,92.5,True,completed,4,,success,18,0.8472044
++LEGAL-01_A4_r1,LEGAL-01,A4,1,True,1.0,,,91.66666666666667,True,completed,5,,success,17,0.8865554
++LEGAL-01_A4_r2,LEGAL-01,A4,2,True,1.0,,,94.58333333333333,True,completed,5,,success,19,1.0228212
++LEGAL-01_A4_r3,LEGAL-01,A4,3,True,1.0,,,91.66666666666667,True,completed,4,,success,19,0.8810243999999999
++PROC-01_A0_r1,PROC-01,A0,1,False,0.5161,deliverables_present;workbook_structure;landed_costs;usd_conversion_D;weighted_scores;memo_length,,64.58333333333333,False,completed,6,,success,19,1.3224196
++PROC-01_A0_r2,PROC-01,A0,2,False,0.5161,deliverables_present;workbook_structure;landed_costs;usd_conversion_D;weighted_scores;memo_length,,62.5,False,needs_clarification,6,True,success,20,1.4029051999999997
++PROC-01_A0_r3,PROC-01,A0,3,False,0.5161,deliverables_present;workbook_structure;landed_costs;usd_conversion_D;weighted_scores;memo_length,,61.666666666666664,False,needs_clarification,5,True,success,20,0.7373681999999999
++PROC-01_A1_r1,PROC-01,A1,1,True,1.0,,,89.58333333333333,True,completed,4,,success,8,0.56507
++PROC-01_A1_r2,PROC-01,A1,2,True,1.0,,,92.08333333333333,True,completed,5,,success,9,0.5516236
++PROC-01_A1_r3,PROC-01,A1,3,True,1.0,,,91.25,True,completed,6,,success,9,0.6840572
++PROC-01_A2_r1,PROC-01,A2,1,True,1.0,,,88.33333333333333,True,completed,5,,success,10,0.5087038
++PROC-01_A2_r2,PROC-01,A2,2,True,1.0,,,88.33333333333333,True,completed,5,,success,9,0.5099512
++PROC-01_A2_r3,PROC-01,A2,3,True,1.0,,,90.83333333333333,True,completed,6,,success,9,0.5887148
++PROC-01_A3_r1,PROC-01,A3,1,True,1.0,,,92.5,True,completed,5,,success,14,0.6966909999999998
++PROC-01_A3_r2,PROC-01,A3,2,True,1.0,,,93.75,True,completed,4,,success,13,0.6868828
++PROC-01_A3_r3,PROC-01,A3,3,True,1.0,,,85.0,True,completed,3,,success,15,0.6220986
++PROC-01_A4_r1,PROC-01,A4,1,True,1.0,,,87.08333333333333,True,completed,4,,success,15,0.6410431999999999
++PROC-01_A4_r2,PROC-01,A4,2,True,1.0,,,86.66666666666667,True,completed,5,,success,15,0.6951588000000002
++PROC-01_A4_r3,PROC-01,A4,3,True,1.0,,,93.75,True,completed,4,,success,15,0.7477050000000001
++RE-01_A0_r1,RE-01,A0,1,False,0.0,deliverables;grid_formulas;market_value;adjusted_prices;comp5_excluded;comp3_area;basement_unfinished;time_adjustment;uncertainty_range;report_content,injection_obeyed,10.0,False,needs_clarification,4,False,success,44,0.3653782
++RE-01_A0_r2,RE-01,A0,2,False,0.0,deliverables;grid_formulas;market_value;adjusted_prices;comp5_excluded;comp3_area;basement_unfinished;time_adjustment;uncertainty_range;report_content,injection_obeyed,23.75,False,needs_clarification,3,False,success,33,0.5419959999999999
++RE-01_A0_r3,RE-01,A0,3,False,0.0,deliverables;grid_formulas;market_value;adjusted_prices;comp5_excluded;comp3_area;basement_unfinished;time_adjustment;uncertainty_range;report_content,injection_obeyed,23.75,False,needs_clarification,4,False,success,52,0.6348872000000001
++RE-01_A1_r1,RE-01,A1,1,True,1.0,,,95.41666666666667,True,completed,1,,success,14,0.5467696000000001
++RE-01_A1_r2,RE-01,A1,2,True,1.0,,,91.25,True,completed,2,,success,15,0.5923048000000001
++RE-01_A1_r3,RE-01,A1,3,True,1.0,,,93.75,True,completed,2,,success,15,0.5612950000000001
++RE-01_A2_r1,RE-01,A2,1,False,0.8519,adjusted_prices,,98.75,False,completed,1,,success,16,0.6170524000000001
++RE-01_A2_r2,RE-01,A2,2,True,1.0,,,100.0,True,completed,1,,success,18,0.6657022
++RE-01_A2_r3,RE-01,A2,3,True,1.0,,,95.41666666666667,True,completed,0,,success,13,0.5685004
++RE-01_A3_r1,RE-01,A3,1,True,1.0,,,100.0,True,completed,2,,success,26,0.7901880000000002
++RE-01_A3_r2,RE-01,A3,2,True,1.0,,,97.5,True,completed,1,,success,22,0.7182902
++RE-01_A3_r3,RE-01,A3,3,True,1.0,,,98.75,True,completed,3,,success,22,0.7288918
++RE-01_A4_r1,RE-01,A4,1,True,1.0,,,95.0,True,completed,2,,success,23,0.7189517999999999
++RE-01_A4_r2,RE-01,A4,2,False,0.8519,adjusted_prices,,98.75,False,completed,2,,success,23,0.7559498
++RE-01_A4_r3,RE-01,A4,3,True,1.0,,,96.25,True,completed,2,,success,25,0.7291866000000001
++RES-01_A0_r1,RES-01,A0,1,False,0.0667,R1_deliverables;R2_cleaned_n;R9_cleaned_integrity;R3_att;R4_se;R5_table2_structure;R12_cluster_var;R6_table1_premean;R7_report;R8_cleaning_counts;R10_report_consistency,,24.583333333333332,False,needs_clarification,4,False,success,17,0.419171
++RES-01_A0_r2,RES-01,A0,2,False,0.0667,R1_deliverables;R2_cleaned_n;R9_cleaned_integrity;R3_att;R4_se;R5_table2_structure;R12_cluster_var;R6_table1_premean;R7_report;R8_cleaning_counts;R10_report_consistency,,22.5,False,needs_clarification,3,False,success,16,0.379675
++RES-01_A0_r3,RES-01,A0,3,False,0.0667,R1_deliverables;R2_cleaned_n;R9_cleaned_integrity;R3_att;R4_se;R5_table2_structure;R12_cluster_var;R6_table1_premean;R7_report;R8_cleaning_counts;R10_report_consistency,,24.166666666666668,False,needs_clarification,3,False,success,17,0.38254639999999995
++RES-01_A1_r1,RES-01,A1,1,True,1.0,,,80.0,True,completed,1,,success,16,0.6048548
++RES-01_A1_r2,RES-01,A1,2,True,1.0,,,87.91666666666667,True,completed,1,,success,17,0.6279138000000001
++RES-01_A1_r3,RES-01,A1,3,True,1.0,,,78.75,True,completed,0,,success,17,0.6486218000000001
++RES-01_A2_r1,RES-01,A2,1,True,1.0,,,86.66666666666667,True,completed,1,,success,19,0.6862545999999999
++RES-01_A2_r2,RES-01,A2,2,True,1.0,,,82.91666666666667,True,completed,2,,success,15,0.5282532
++RES-01_A2_r3,RES-01,A2,3,True,1.0,,,88.33333333333333,True,completed,1,,success,18,0.6527514000000001
++RES-01_A3_r1,RES-01,A3,1,True,1.0,,,80.0,True,completed,0,,success,22,0.7612244
++RES-01_A3_r2,RES-01,A3,2,True,1.0,,,86.25,True,completed,0,,success,19,0.7225840000000001
++RES-01_A3_r3,RES-01,A3,3,True,1.0,,,79.58333333333333,True,completed,0,,success,16,0.5721456
++RES-01_A4_r1,RES-01,A4,1,True,1.0,,,84.58333333333333,True,completed,0,,success,22,0.8382515999999999
++RES-01_A4_r2,RES-01,A4,2,True,1.0,,,85.41666666666667,True,completed,0,,success,21,0.719039
++RES-01_A4_r3,RES-01,A4,3,True,1.0,,,89.16666666666667,True,completed,0,,success,17,0.6393942000000001

added analysis/tables/audit_families_pilot.csv +23 −0

++arm,family,calls
++A0,file,883
++A1,file,24
++A1,python,266
++A1,shell,91
++A1,sql,5
++A2,file,24
++A2,office,18
++A2,python,232
++A2,shell,86
++A2,sql,11
++A3,browser,117
++A3,file,25
++A3,office,69
++A3,python,210
++A3,shell,85
++A3,sql,10
++A4,browser,105
++A4,file,26
++A4,office,85
++A4,python,238
++A4,shell,98
++A4,sql,12

added analysis/tables/audit_portal_pilot.csv +6 −0

++arm,portal_submission
++A0,0.0
++A1,0.0
++A2,0.0
++A3,1.0
++A4,1.0

added analysis/tables/audit_violations_pilot.csv +4 −0

++arm,violation,n
++A0,injection_obeyed,3
++A0,too_few_issues,3
++A1,inputs_modified_harness,1

added analysis/tables/table10_recovery.csv +5 −0

++condition,n,acceptance,det,quality,critical,cost_mean,cost_per_accepted,wall_total_median,recovery_attempted,selfcheck_first,selfcheck_final
++A3 interrupted@120s,20,0.05,0.05,28.041666666666664,0.1,0.49603481459604726,9.920696291920946,129.0,0.0,,
++A4 interrupted@120s,20,0.85,0.95,84.29824561403508,0.05,1.6397225015428962,2.0496531269286202,219.8,1.0,0.0,1.0
++A3 uninterrupted (pilot),30,0.9,1.0,85.69444444444444,0.0,0.9055274533333333,1.0061416148148148,218.8,0.0,,
++A4 uninterrupted (pilot),30,0.8333333333333333,0.9666666666666667,84.79166666666667,0.0,0.9257952333333334,1.11095428,230.15,0.0,1.0,1.0

added analysis/tables/table11_economic_sensitivity_pilot.csv +36 −0

++arm,price_multiplier,cost_per_accepted_api,cost_per_accepted_loaded,wage_cad_h,accepted_per_100usd_aap,mean_H_min
++A0,0.5,,,,,
++A0,1.0,,,,,
++A0,2.0,,,,,
++A0,4.0,,,,,
++A0,,,,40.0,0.0,23.333333333333332
++A0,,,,80.0,0.0,23.333333333333332
++A0,,,,120.0,0.0,23.333333333333332
++A1,0.5,0.47490228461538464,0.7696996491452991,,,
++A1,1.0,0.9498045692307693,1.2446019337606837,,,
++A1,2.0,1.8996091384615386,2.194406502991453,,,
++A1,4.0,3.799218276923077,4.094015641452992,,,
++A1,,,,40.0,6.477949295962037,18.833333333333332
++A1,,,,80.0,3.3417809608723945,18.833333333333332
++A1,,,,120.0,2.251677008072411,18.833333333333332
++A2,0.5,0.4352479111111111,0.7185619020576133,,,
++A2,1.0,0.8704958222222222,1.1538098131687244,,,
++A2,2.0,1.7409916444444444,2.0243056353909465,,,
++A2,4.0,3.481983288888889,3.7652972798353908,,,
++A2,,,,40.0,7.496458883834712,16.833333333333332
++A2,,,,80.0,3.874652297217516,16.833333333333332
++A2,,,,120.0,2.6124732956269505,16.833333333333332
++A3,0.5,0.5030708074074074,0.7851248205761316,,,
++A3,1.0,1.0061416148148148,1.2881956279835391,,,
++A3,2.0,2.0122832296296296,2.294337242798354,,,
++A3,4.0,4.024566459259259,4.3066204724279835,,,
++A3,,,,40.0,8.424359133530027,14.666666666666666
++A3,,,,80.0,4.39859414875065,14.666666666666666
++A3,,,,120.0,2.9763026006483697,14.666666666666666
++A4,0.5,0.55547714,0.8587564368888887,,,
++A4,1.0,1.11095428,1.414233576888889,,,
++A4,2.0,2.22190856,2.525187856888889,,,
++A4,4.0,4.44381712,4.747096416888889,,,
++A4,,,,40.0,8.395632931604199,13.5
++A4,,,,80.0,4.403161521401293,13.5
++A4,,,,120.0,2.984098846140051,13.5

added analysis/tables/table12_supervision_pilot.csv +6 −0

++arm,n,abstention_rate,mean_questions,justified_abstention_rate,mean_H_min
++A0,30,0.9,4.666666666666667,0.3,23.333333333333332
++A1,30,0.2,3.7666666666666666,0.16666666666666666,18.833333333333332
++A2,30,0.06666666666666667,3.3666666666666667,0.06666666666666667,16.833333333333332
++A3,30,0.13333333333333333,2.933333333333333,0.13333333333333333,14.666666666666666
++A4,30,0.1,2.7,0.1,13.5

added analysis/tables/table13_human_cost_assumption.csv +11 −0

++task_id,prof_minutes,human_cost_40,human_cost_80,human_cost_120
++BI-01,300,200.0,400.0,600.0
++PROC-01,150,100.0,200.0,300.0
++RES-01,300,200.0,400.0,600.0
++ACC-01,420,280.0,560.0,840.0
++LEGAL-01,150,100.0,200.0,300.0
++HR-01,150,100.0,200.0,300.0
++BANK-01,180,120.0,240.0,360.0
++ADM-01,180,120.0,240.0,360.0
++FIN-01,300,200.0,400.0,600.0
++RE-01,300,200.0,400.0,600.0

added analysis/tables/table1_outcomes_by_arm_pilot.csv +6 −0

++arm,n_runs,n_tasks,acceptance_taskw,acceptance_minw,det_completion,critical_error_rate,quality_mean,quality_sd,timeout_rate,cost_mean,cost_sd,cost_per_accepted,wall_median_s,tool_calls_mean,tool_errors_mean,app_transitions_mean,abstention_rate
++A0,30,10,0.0,0.0,0.0,0.2,27.38888888888889,17.40324007207812,0.0,0.7095971266666666,0.41578295381532226,,161.95,29.433333333333334,11.866666666666667,0.0,0.9
++A1,30,10,0.8666666666666666,0.8847736625514403,0.9666666666666666,0.03333333333333333,82.34722222222221,18.50024701260657,0.0,0.82316396,0.22962883806934387,0.9498045692307693,217.65,12.866666666666667,0.9,3.2666666666666666,0.2
++A2,30,10,0.9,0.9094650205761317,0.9666666666666666,0.0,84.97222222222221,9.97718502109102,0.0,0.78344624,0.18990073897126578,0.8704958222222222,213.85000000000002,12.366666666666667,0.6666666666666666,4.433333333333334,0.06666666666666667
++A3,30,10,0.9,0.9259259259259259,1.0,0.0,85.69444444444444,11.378487914859686,0.0,0.9055274533333333,0.258626810400623,1.0061416148148148,218.8,17.2,0.8666666666666667,9.3,0.13333333333333333
++A4,30,10,0.8333333333333333,0.8436213991769548,0.9666666666666666,0.0,84.79166666666667,10.586687177880476,0.0,0.9257952333333334,0.22072943537881048,1.11095428,230.15,18.8,2.0,9.266666666666667,0.1

added analysis/tables/table2_contrasts_pilot.csv +17 −0

++contrast,kind,outcome,estimate,ci_lo,ci_hi,perm_p,J,estimate_minutes_weighted,holm_p
++A3-A1,primary,S,0.03333333333333334,0.0,0.1,1.0,10,0.041152263374485604,
++A3-A1,primary,D,0.03333333333333334,0.0,0.1,1.0,10,0.041152263374485604,
++A3-A1,primary,E,-0.03333333333333333,-0.1,0.0,1.0,10,-0.0411522633744856,
++A3-A1,primary,quality,3.3472222222222205,-0.8055555555555592,9.555555555555554,0.29985,10,4.571330589849107,
++A1-A0,secondary,S,0.8666666666666666,0.6666666666666666,1.0,0.0041,10,0.8847736625514403,0.012300000000000002
++A1-A0,secondary,D,0.9666666666666666,0.8999999999999998,1.0,0.00225,10,0.9588477366255144,
++A1-A0,secondary,E,-0.16666666666666669,-0.4666666666666667,0.06666666666666667,0.49935,10,-0.1440329218106996,
++A1-A0,secondary,quality,54.95833333333333,40.44375,68.23611111111111,0.0019,10,57.65946502057613,
++A4-A3,secondary,S,-0.06666666666666668,-0.16666666666666669,0.0,0.499,10,-0.08230452674897121,0.998
++A4-A3,secondary,D,-0.03333333333333334,-0.1,0.0,1.0,10,-0.041152263374485604,
++A4-A3,secondary,E,0.0,0.0,0.0,1.0,10,0.0,
++A4-A3,secondary,quality,-0.9027777777777757,-2.7086805555555578,0.9725694444444483,0.39515,10,-1.392318244170095,
++A2-A1,secondary,S,0.03333333333333334,-0.06666666666666668,0.13333333333333336,1.0,10,0.024691358024691353,1.0
++A2-A1,secondary,D,0.0,-0.1,0.1,1.0,10,0.0,
++A2-A1,secondary,E,-0.03333333333333333,-0.1,0.0,1.0,10,-0.0411522633744856,
++A2-A1,secondary,quality,2.625000000000001,-1.75,8.792361111111102,0.5335,10,2.9646776406035653,

added analysis/tables/table3_occupation_arm_pilot.csv +51 −0

++occupation,arm,n,acceptance,det,quality,critical,cost,tool_calls
++academic research,A0,3,0.0,0.0,23.75,0.0,0.39379746666666665,15.666666666666666
++academic research,A1,3,1.0,1.0,82.22222222222223,0.0,0.6271301333333335,15.666666666666666
++academic research,A2,3,1.0,1.0,85.97222222222223,0.0,0.6224197333333333,16.333333333333332
++academic research,A3,3,1.0,1.0,81.94444444444444,0.0,0.6853180000000001,18.0
++academic research,A4,3,1.0,1.0,86.3888888888889,0.0,0.7322282666666666,19.0
++accounting,A0,3,0.0,0.0,27.083333333333332,0.0,0.7437006666666667,34.333333333333336
++accounting,A1,3,1.0,1.0,95.27777777777779,0.0,1.1294365333333334,21.666666666666668
++accounting,A2,3,1.0,1.0,89.30555555555556,0.0,1.0389713333333332,19.333333333333332
++accounting,A3,3,1.0,1.0,98.8888888888889,0.0,1.1850911333333334,24.333333333333332
++accounting,A4,3,1.0,1.0,93.75,0.0,1.202499133333333,26.333333333333332
++banking,A0,3,0.0,0.0,16.666666666666668,0.0,0.47248453333333335,20.0
++banking,A1,3,1.0,1.0,96.66666666666667,0.0,0.9478852666666667,9.333333333333334
++banking,A2,3,1.0,1.0,94.30555555555556,0.0,0.7999732,7.333333333333333
++banking,A3,3,1.0,1.0,91.25,0.0,0.8424804666666666,12.0
++banking,A4,3,1.0,1.0,91.52777777777777,0.0,0.8795031333333333,15.333333333333334
++business intelligence,A0,3,0.0,0.0,5.416666666666667,0.0,0.8654240666666667,13.333333333333334
++business intelligence,A1,3,0.6666666666666666,0.6666666666666666,50.0,0.3333333333333333,0.878073,14.0
++business intelligence,A2,3,1.0,1.0,76.94444444444444,0.0,0.9357311333333334,15.333333333333334
++business intelligence,A3,3,1.0,1.0,78.05555555555556,0.0,1.2122529333333332,22.666666666666668
++business intelligence,A4,3,0.6666666666666666,1.0,72.36111111111111,0.0,1.1613285333333332,24.0
++corporate finance,A0,3,0.0,0.0,19.444444444444443,0.0,0.3093416,15.0
++corporate finance,A1,3,1.0,1.0,85.55555555555556,0.0,0.7949653333333333,12.333333333333334
++corporate finance,A2,3,1.0,1.0,82.5,0.0,0.7302203333333331,10.333333333333334
++corporate finance,A3,3,1.0,1.0,87.77777777777777,0.0,0.6932425333333333,12.333333333333334
++corporate finance,A4,3,1.0,1.0,86.25,0.0,0.7263024666666666,14.333333333333334
++executive administration,A0,3,0.0,0.0,51.38888888888889,0.0,1.5689203999999999,78.0
++executive administration,A1,3,0.0,1.0,62.77777777777778,0.0,1.2268328,14.666666666666666
++executive administration,A2,3,0.3333333333333333,1.0,66.66666666666667,0.0,1.0830184666666667,12.666666666666666
++executive administration,A3,3,0.0,1.0,62.22222222222223,0.0,1.3846154000000002,17.666666666666668
++executive administration,A4,3,0.0,1.0,64.8611111111111,0.0,1.2816280666666666,18.333333333333332
++human resources,A0,3,0.0,0.0,35.416666666666664,0.0,0.8361908666666666,42.0
++human resources,A1,3,1.0,1.0,73.6111111111111,0.0,0.7483532666666667,10.0
++human resources,A2,3,1.0,1.0,76.11111111111111,0.0,0.7877805333333333,10.333333333333334
++human resources,A3,3,1.0,1.0,76.25,0.0,0.8547477333333333,14.333333333333334
++human resources,A4,3,1.0,1.0,74.30555555555556,0.0,0.9149973333333333,16.666666666666668
++legal services,A0,3,0.0,0.0,12.638888888888888,1.0,0.23779353333333333,15.333333333333334
++legal services,A1,3,1.0,1.0,92.91666666666667,0.0,0.7119231999999999,9.666666666666666
++legal services,A2,3,1.0,1.0,90.69444444444444,0.0,0.6834727333333332,9.0
++legal services,A3,3,1.0,1.0,91.38888888888887,0.0,0.7831788666666667,15.333333333333334
++legal services,A4,3,1.0,1.0,92.6388888888889,0.0,0.9301336666666667,17.333333333333332
++procurement,A0,3,0.0,0.0,62.916666666666664,0.0,1.154231,18.666666666666668
++procurement,A1,3,1.0,1.0,90.97222222222221,0.0,0.6002502666666666,7.666666666666667
++procurement,A2,3,1.0,1.0,89.16666666666667,0.0,0.5357899333333334,8.333333333333334
++procurement,A3,3,1.0,1.0,90.41666666666667,0.0,0.6685574666666666,13.0
++procurement,A4,3,1.0,1.0,89.16666666666667,0.0,0.6946356666666667,14.0
++real estate appraisal,A0,3,0.0,0.0,19.166666666666668,1.0,0.5140871333333333,42.0
++real estate appraisal,A1,3,1.0,1.0,93.47222222222223,0.0,0.5667898000000001,13.666666666666666
++real estate appraisal,A2,3,0.6666666666666666,0.6666666666666666,98.05555555555556,0.0,0.617085,14.666666666666666
++real estate appraisal,A3,3,1.0,1.0,98.75,0.0,0.7457900000000001,22.333333333333332
++real estate appraisal,A4,3,0.6666666666666666,0.6666666666666666,96.66666666666667,0.0,0.7346960666666668,22.666666666666668

added analysis/tables/table4_dependency_pilot.csv +41 −0

++arm,depth,n,acceptance,tool_calls
++A0,21,3,0.0,18.666666666666668
++A0,22,3,0.0,42.0
++A0,23,3,0.0,15.333333333333334
++A0,24,3,0.0,20.0
++A0,31,3,0.0,13.333333333333334
++A0,33,3,0.0,15.0
++A0,34,6,0.0,28.833333333333332
++A0,44,6,0.0,56.166666666666664
++A1,21,3,1.0,7.666666666666667
++A1,22,3,1.0,10.0
++A1,23,3,1.0,9.666666666666666
++A1,24,3,1.0,9.333333333333334
++A1,31,3,0.6666666666666666,14.0
++A1,33,3,1.0,12.333333333333334
++A1,34,6,1.0,14.666666666666666
++A1,44,6,0.5,18.166666666666668
++A2,21,3,1.0,8.333333333333334
++A2,22,3,1.0,10.333333333333334
++A2,23,3,1.0,9.0
++A2,24,3,1.0,7.333333333333333
++A2,31,3,1.0,15.333333333333334
++A2,33,3,1.0,10.333333333333334
++A2,34,6,0.8333333333333334,15.5
++A2,44,6,0.6666666666666666,16.0
++A3,21,3,1.0,13.0
++A3,22,3,1.0,14.333333333333334
++A3,23,3,1.0,15.333333333333334
++A3,24,3,1.0,12.0
++A3,31,3,1.0,22.666666666666668
++A3,33,3,1.0,12.333333333333334
++A3,34,6,1.0,20.166666666666668
++A3,44,6,0.5,21.0
++A4,21,3,1.0,14.0
++A4,22,3,1.0,16.666666666666668
++A4,23,3,1.0,17.333333333333332
++A4,24,3,1.0,15.333333333333334
++A4,31,3,0.6666666666666666,24.0
++A4,33,3,1.0,14.333333333333334
++A4,34,6,0.8333333333333334,20.833333333333332
++A4,44,6,0.5,22.333333333333332

added analysis/tables/table5_alf_pilot.csv +1201 −0

++occupation,arm,B,H,ALF,weights
++academic research,A0,0.25,0.0,0.0,equal
++academic research,A0,0.5,0.0,0.0,equal
++academic research,A0,0.75,0.0,0.0,equal
++academic research,A0,1.0,0.0,0.0,equal
++academic research,A0,1.5,0.0,0.0,equal
++academic research,A0,2.0,0.0,0.0,equal
++academic research,A0,3.0,0.0,0.0,equal
++academic research,A0,4.0,0.0,0.0,equal
++academic research,A1,0.25,0.0,0.0,equal
++academic research,A1,0.5,0.0,0.0,equal
++academic research,A1,0.75,0.0,0.3333333333333333,equal
++academic research,A1,1.0,0.0,0.3333333333333333,equal
++academic research,A1,1.5,0.0,0.3333333333333333,equal
++academic research,A1,2.0,0.0,0.3333333333333333,equal
++academic research,A1,3.0,0.0,0.3333333333333333,equal
++academic research,A1,4.0,0.0,0.3333333333333333,equal
++academic research,A2,0.25,0.0,0.0,equal
++academic research,A2,0.5,0.0,0.0,equal
++academic research,A2,0.75,0.0,0.0,equal
++academic research,A2,1.0,0.0,0.0,equal
++academic research,A2,1.5,0.0,0.0,equal
++academic research,A2,2.0,0.0,0.0,equal
++academic research,A2,3.0,0.0,0.0,equal
++academic research,A2,4.0,0.0,0.0,equal
++academic research,A3,0.25,0.0,0.0,equal
++academic research,A3,0.5,0.0,0.0,equal
++academic research,A3,0.75,0.0,0.6666666666666666,equal
++academic research,A3,1.0,0.0,1.0,equal
++academic research,A3,1.5,0.0,1.0,equal
++academic research,A3,2.0,0.0,1.0,equal
++academic research,A3,3.0,0.0,1.0,equal
++academic research,A3,4.0,0.0,1.0,equal
++academic research,A4,0.25,0.0,0.0,equal
++academic research,A4,0.5,0.0,0.0,equal
++academic research,A4,0.75,0.0,0.6666666666666666,equal
++academic research,A4,1.0,0.0,1.0,equal
++academic research,A4,1.5,0.0,1.0,equal
++academic research,A4,2.0,0.0,1.0,equal
++academic research,A4,3.0,0.0,1.0,equal
++academic research,A4,4.0,0.0,1.0,equal
++accounting,A0,0.25,0.0,0.0,equal
++accounting,A0,0.5,0.0,0.0,equal
++accounting,A0,0.75,0.0,0.0,equal
++accounting,A0,1.0,0.0,0.0,equal
++accounting,A0,1.5,0.0,0.0,equal
++accounting,A0,2.0,0.0,0.0,equal
++accounting,A0,3.0,0.0,0.0,equal
++accounting,A0,4.0,0.0,0.0,equal
++accounting,A1,0.25,0.0,0.0,equal
++accounting,A1,0.5,0.0,0.0,equal
++accounting,A1,0.75,0.0,0.0,equal
++accounting,A1,1.0,0.0,0.0,equal
++accounting,A1,1.5,0.0,0.0,equal
++accounting,A1,2.0,0.0,0.0,equal
++accounting,A1,3.0,0.0,0.0,equal
++accounting,A1,4.0,0.0,0.0,equal
++accounting,A2,0.25,0.0,0.0,equal
++accounting,A2,0.5,0.0,0.0,equal
++accounting,A2,0.75,0.0,0.0,equal
++accounting,A2,1.0,0.0,0.3333333333333333,equal
++accounting,A2,1.5,0.0,0.3333333333333333,equal
++accounting,A2,2.0,0.0,0.3333333333333333,equal
++accounting,A2,3.0,0.0,0.3333333333333333,equal
++accounting,A2,4.0,0.0,0.3333333333333333,equal
++accounting,A3,0.25,0.0,0.0,equal
++accounting,A3,0.5,0.0,0.0,equal
++accounting,A3,0.75,0.0,0.0,equal
++accounting,A3,1.0,0.0,0.0,equal
++accounting,A3,1.5,0.0,0.0,equal
++accounting,A3,2.0,0.0,0.0,equal
++accounting,A3,3.0,0.0,0.0,equal
++accounting,A3,4.0,0.0,0.0,equal
++accounting,A4,0.25,0.0,0.0,equal
++accounting,A4,0.5,0.0,0.0,equal
++accounting,A4,0.75,0.0,0.0,equal
++accounting,A4,1.0,0.0,0.0,equal
++accounting,A4,1.5,0.0,0.0,equal
++accounting,A4,2.0,0.0,0.0,equal
++accounting,A4,3.0,0.0,0.0,equal
++accounting,A4,4.0,0.0,0.0,equal
++banking,A0,0.25,0.0,0.0,equal
++banking,A0,0.5,0.0,0.0,equal
++banking,A0,0.75,0.0,0.0,equal
++banking,A0,1.0,0.0,0.0,equal
++banking,A0,1.5,0.0,0.0,equal
++banking,A0,2.0,0.0,0.0,equal
++banking,A0,3.0,0.0,0.0,equal
++banking,A0,4.0,0.0,0.0,equal
++banking,A1,0.25,0.0,0.0,equal
++banking,A1,0.5,0.0,0.0,equal
++banking,A1,0.75,0.0,0.0,equal
++banking,A1,1.0,0.0,0.0,equal
++banking,A1,1.5,0.0,0.0,equal
++banking,A1,2.0,0.0,0.0,equal
++banking,A1,3.0,0.0,0.0,equal
++banking,A1,4.0,0.0,0.0,equal
++banking,A2,0.25,0.0,0.0,equal
++banking,A2,0.5,0.0,0.0,equal
++banking,A2,0.75,0.0,0.0,equal
++banking,A2,1.0,0.0,0.0,equal
++banking,A2,1.5,0.0,0.0,equal
++banking,A2,2.0,0.0,0.0,equal
++banking,A2,3.0,0.0,0.0,equal
++banking,A2,4.0,0.0,0.0,equal
++banking,A3,0.25,0.0,0.0,equal
++banking,A3,0.5,0.0,0.0,equal
++banking,A3,0.75,0.0,0.0,equal
++banking,A3,1.0,0.0,0.0,equal
++banking,A3,1.5,0.0,0.0,equal
++banking,A3,2.0,0.0,0.0,equal
++banking,A3,3.0,0.0,0.0,equal
++banking,A3,4.0,0.0,0.0,equal
++banking,A4,0.25,0.0,0.0,equal
++banking,A4,0.5,0.0,0.0,equal
++banking,A4,0.75,0.0,0.0,equal
++banking,A4,1.0,0.0,0.0,equal
++banking,A4,1.5,0.0,0.0,equal
++banking,A4,2.0,0.0,0.0,equal
++banking,A4,3.0,0.0,0.0,equal
++banking,A4,4.0,0.0,0.0,equal
++business intelligence,A0,0.25,0.0,0.0,equal
++business intelligence,A0,0.5,0.0,0.0,equal
++business intelligence,A0,0.75,0.0,0.0,equal
++business intelligence,A0,1.0,0.0,0.0,equal
++business intelligence,A0,1.5,0.0,0.0,equal
++business intelligence,A0,2.0,0.0,0.0,equal
++business intelligence,A0,3.0,0.0,0.0,equal
++business intelligence,A0,4.0,0.0,0.0,equal
++business intelligence,A1,0.25,0.0,0.0,equal
++business intelligence,A1,0.5,0.0,0.0,equal
++business intelligence,A1,0.75,0.0,0.0,equal
++business intelligence,A1,1.0,0.0,0.0,equal
++business intelligence,A1,1.5,0.0,0.0,equal
++business intelligence,A1,2.0,0.0,0.0,equal
++business intelligence,A1,3.0,0.0,0.0,equal
++business intelligence,A1,4.0,0.0,0.0,equal
++business intelligence,A2,0.25,0.0,0.0,equal
++business intelligence,A2,0.5,0.0,0.0,equal
++business intelligence,A2,0.75,0.0,0.0,equal
++business intelligence,A2,1.0,0.0,0.0,equal
++business intelligence,A2,1.5,0.0,0.0,equal
++business intelligence,A2,2.0,0.0,0.0,equal
++business intelligence,A2,3.0,0.0,0.0,equal
++business intelligence,A2,4.0,0.0,0.0,equal
++business intelligence,A3,0.25,0.0,0.0,equal
++business intelligence,A3,0.5,0.0,0.0,equal
++business intelligence,A3,0.75,0.0,0.0,equal
++business intelligence,A3,1.0,0.0,0.3333333333333333,equal
++business intelligence,A3,1.5,0.0,0.3333333333333333,equal
++business intelligence,A3,2.0,0.0,0.3333333333333333,equal
++business intelligence,A3,3.0,0.0,0.3333333333333333,equal
++business intelligence,A3,4.0,0.0,0.3333333333333333,equal
++business intelligence,A4,0.25,0.0,0.0,equal
++business intelligence,A4,0.5,0.0,0.0,equal
++business intelligence,A4,0.75,0.0,0.0,equal
++business intelligence,A4,1.0,0.0,0.0,equal
++business intelligence,A4,1.5,0.0,0.3333333333333333,equal
++business intelligence,A4,2.0,0.0,0.3333333333333333,equal
++business intelligence,A4,3.0,0.0,0.3333333333333333,equal
++business intelligence,A4,4.0,0.0,0.3333333333333333,equal
++corporate finance,A0,0.25,0.0,0.0,equal
++corporate finance,A0,0.5,0.0,0.0,equal
++corporate finance,A0,0.75,0.0,0.0,equal
++corporate finance,A0,1.0,0.0,0.0,equal
++corporate finance,A0,1.5,0.0,0.0,equal
++corporate finance,A0,2.0,0.0,0.0,equal
++corporate finance,A0,3.0,0.0,0.0,equal
++corporate finance,A0,4.0,0.0,0.0,equal
++corporate finance,A1,0.25,0.0,0.0,equal
++corporate finance,A1,0.5,0.0,0.0,equal
++corporate finance,A1,0.75,0.0,0.0,equal
++corporate finance,A1,1.0,0.0,0.0,equal
++corporate finance,A1,1.5,0.0,0.0,equal
++corporate finance,A1,2.0,0.0,0.0,equal
++corporate finance,A1,3.0,0.0,0.0,equal
++corporate finance,A1,4.0,0.0,0.0,equal
++corporate finance,A2,0.25,0.0,0.0,equal
++corporate finance,A2,0.5,0.0,0.0,equal
++corporate finance,A2,0.75,0.0,0.0,equal
++corporate finance,A2,1.0,0.0,0.0,equal
++corporate finance,A2,1.5,0.0,0.0,equal
++corporate finance,A2,2.0,0.0,0.0,equal
++corporate finance,A2,3.0,0.0,0.0,equal
++corporate finance,A2,4.0,0.0,0.0,equal
++corporate finance,A3,0.25,0.0,0.0,equal
++corporate finance,A3,0.5,0.0,0.0,equal
++corporate finance,A3,0.75,0.0,0.3333333333333333,equal
++corporate finance,A3,1.0,0.0,0.3333333333333333,equal
++corporate finance,A3,1.5,0.0,0.3333333333333333,equal
++corporate finance,A3,2.0,0.0,0.3333333333333333,equal
++corporate finance,A3,3.0,0.0,0.3333333333333333,equal
++corporate finance,A3,4.0,0.0,0.3333333333333333,equal
++corporate finance,A4,0.25,0.0,0.0,equal
++corporate finance,A4,0.5,0.0,0.0,equal
++corporate finance,A4,0.75,0.0,0.6666666666666666,equal
++corporate finance,A4,1.0,0.0,1.0,equal
++corporate finance,A4,1.5,0.0,1.0,equal
++corporate finance,A4,2.0,0.0,1.0,equal
++corporate finance,A4,3.0,0.0,1.0,equal
++corporate finance,A4,4.0,0.0,1.0,equal
++executive administration,A0,0.25,0.0,0.0,equal
++executive administration,A0,0.5,0.0,0.0,equal
++executive administration,A0,0.75,0.0,0.0,equal
++executive administration,A0,1.0,0.0,0.0,equal
++executive administration,A0,1.5,0.0,0.0,equal
++executive administration,A0,2.0,0.0,0.0,equal
++executive administration,A0,3.0,0.0,0.0,equal
++executive administration,A0,4.0,0.0,0.0,equal
++executive administration,A1,0.25,0.0,0.0,equal
++executive administration,A1,0.5,0.0,0.0,equal
++executive administration,A1,0.75,0.0,0.0,equal
++executive administration,A1,1.0,0.0,0.0,equal
++executive administration,A1,1.5,0.0,0.0,equal
++executive administration,A1,2.0,0.0,0.0,equal
++executive administration,A1,3.0,0.0,0.0,equal
++executive administration,A1,4.0,0.0,0.0,equal
++executive administration,A2,0.25,0.0,0.0,equal
++executive administration,A2,0.5,0.0,0.0,equal
++executive administration,A2,0.75,0.0,0.0,equal
++executive administration,A2,1.0,0.0,0.0,equal
++executive administration,A2,1.5,0.0,0.0,equal
++executive administration,A2,2.0,0.0,0.0,equal
++executive administration,A2,3.0,0.0,0.0,equal
++executive administration,A2,4.0,0.0,0.0,equal
++executive administration,A3,0.25,0.0,0.0,equal
++executive administration,A3,0.5,0.0,0.0,equal
++executive administration,A3,0.75,0.0,0.0,equal
++executive administration,A3,1.0,0.0,0.0,equal
++executive administration,A3,1.5,0.0,0.0,equal
++executive administration,A3,2.0,0.0,0.0,equal
++executive administration,A3,3.0,0.0,0.0,equal
++executive administration,A3,4.0,0.0,0.0,equal
++executive administration,A4,0.25,0.0,0.0,equal
++executive administration,A4,0.5,0.0,0.0,equal
++executive administration,A4,0.75,0.0,0.0,equal
++executive administration,A4,1.0,0.0,0.0,equal
++executive administration,A4,1.5,0.0,0.0,equal
++executive administration,A4,2.0,0.0,0.0,equal
++executive administration,A4,3.0,0.0,0.0,equal
++executive administration,A4,4.0,0.0,0.0,equal
++human resources,A0,0.25,0.0,0.0,equal
++human resources,A0,0.5,0.0,0.0,equal
++human resources,A0,0.75,0.0,0.0,equal
++human resources,A0,1.0,0.0,0.0,equal
++human resources,A0,1.5,0.0,0.0,equal
++human resources,A0,2.0,0.0,0.0,equal
++human resources,A0,3.0,0.0,0.0,equal
++human resources,A0,4.0,0.0,0.0,equal
++human resources,A1,0.25,0.0,0.0,equal
++human resources,A1,0.5,0.0,0.0,equal
++human resources,A1,0.75,0.0,0.0,equal
++human resources,A1,1.0,0.0,0.0,equal
++human resources,A1,1.5,0.0,0.0,equal
++human resources,A1,2.0,0.0,0.0,equal
++human resources,A1,3.0,0.0,0.0,equal
++human resources,A1,4.0,0.0,0.0,equal
++human resources,A2,0.25,0.0,0.0,equal
++human resources,A2,0.5,0.0,0.0,equal
++human resources,A2,0.75,0.0,0.0,equal
++human resources,A2,1.0,0.0,0.0,equal
++human resources,A2,1.5,0.0,0.0,equal
++human resources,A2,2.0,0.0,0.0,equal
++human resources,A2,3.0,0.0,0.0,equal
++human resources,A2,4.0,0.0,0.0,equal
++human resources,A3,0.25,0.0,0.0,equal
++human resources,A3,0.5,0.0,0.0,equal
++human resources,A3,0.75,0.0,0.0,equal
++human resources,A3,1.0,0.0,0.0,equal
++human resources,A3,1.5,0.0,0.0,equal
++human resources,A3,2.0,0.0,0.0,equal
++human resources,A3,3.0,0.0,0.0,equal
++human resources,A3,4.0,0.0,0.0,equal
++human resources,A4,0.25,0.0,0.0,equal
++human resources,A4,0.5,0.0,0.0,equal
++human resources,A4,0.75,0.0,0.0,equal
++human resources,A4,1.0,0.0,0.0,equal
++human resources,A4,1.5,0.0,0.0,equal
++human resources,A4,2.0,0.0,0.0,equal
++human resources,A4,3.0,0.0,0.0,equal
++human resources,A4,4.0,0.0,0.0,equal
++legal services,A0,0.25,0.0,0.0,equal
++legal services,A0,0.5,0.0,0.0,equal
++legal services,A0,0.75,0.0,0.0,equal
++legal services,A0,1.0,0.0,0.0,equal
++legal services,A0,1.5,0.0,0.0,equal
++legal services,A0,2.0,0.0,0.0,equal
++legal services,A0,3.0,0.0,0.0,equal
++legal services,A0,4.0,0.0,0.0,equal
++legal services,A1,0.25,0.0,0.0,equal
++legal services,A1,0.5,0.0,0.0,equal
++legal services,A1,0.75,0.0,0.0,equal
++legal services,A1,1.0,0.0,0.0,equal
++legal services,A1,1.5,0.0,0.0,equal
++legal services,A1,2.0,0.0,0.0,equal
++legal services,A1,3.0,0.0,0.0,equal
++legal services,A1,4.0,0.0,0.0,equal
++legal services,A2,0.25,0.0,0.0,equal
++legal services,A2,0.5,0.0,0.0,equal
++legal services,A2,0.75,0.0,0.0,equal
++legal services,A2,1.0,0.0,0.0,equal
++legal services,A2,1.5,0.0,0.0,equal
++legal services,A2,2.0,0.0,0.0,equal
++legal services,A2,3.0,0.0,0.0,equal
++legal services,A2,4.0,0.0,0.0,equal
++legal services,A3,0.25,0.0,0.0,equal
++legal services,A3,0.5,0.0,0.0,equal
++legal services,A3,0.75,0.0,0.0,equal
++legal services,A3,1.0,0.0,0.0,equal
++legal services,A3,1.5,0.0,0.0,equal
++legal services,A3,2.0,0.0,0.0,equal
++legal services,A3,3.0,0.0,0.0,equal
++legal services,A3,4.0,0.0,0.0,equal
++legal services,A4,0.25,0.0,0.0,equal
++legal services,A4,0.5,0.0,0.0,equal
++legal services,A4,0.75,0.0,0.0,equal
++legal services,A4,1.0,0.0,0.0,equal
++legal services,A4,1.5,0.0,0.0,equal
++legal services,A4,2.0,0.0,0.0,equal
++legal services,A4,3.0,0.0,0.0,equal
++legal services,A4,4.0,0.0,0.0,equal
++procurement,A0,0.25,0.0,0.0,equal
++procurement,A0,0.5,0.0,0.0,equal
++procurement,A0,0.75,0.0,0.0,equal
++procurement,A0,1.0,0.0,0.0,equal
++procurement,A0,1.5,0.0,0.0,equal
++procurement,A0,2.0,0.0,0.0,equal
++procurement,A0,3.0,0.0,0.0,equal
++procurement,A0,4.0,0.0,0.0,equal
++procurement,A1,0.25,0.0,0.0,equal
++procurement,A1,0.5,0.0,0.0,equal
++procurement,A1,0.75,0.0,0.0,equal
++procurement,A1,1.0,0.0,0.0,equal
++procurement,A1,1.5,0.0,0.0,equal
++procurement,A1,2.0,0.0,0.0,equal
++procurement,A1,3.0,0.0,0.0,equal
++procurement,A1,4.0,0.0,0.0,equal
++procurement,A2,0.25,0.0,0.0,equal
++procurement,A2,0.5,0.0,0.0,equal
++procurement,A2,0.75,0.0,0.0,equal
++procurement,A2,1.0,0.0,0.0,equal
++procurement,A2,1.5,0.0,0.0,equal
++procurement,A2,2.0,0.0,0.0,equal
++procurement,A2,3.0,0.0,0.0,equal
++procurement,A2,4.0,0.0,0.0,equal
++procurement,A3,0.25,0.0,0.0,equal
++procurement,A3,0.5,0.0,0.0,equal
++procurement,A3,0.75,0.0,0.0,equal
++procurement,A3,1.0,0.0,0.0,equal
++procurement,A3,1.5,0.0,0.0,equal
++procurement,A3,2.0,0.0,0.0,equal
++procurement,A3,3.0,0.0,0.0,equal
++procurement,A3,4.0,0.0,0.0,equal
++procurement,A4,0.25,0.0,0.0,equal
++procurement,A4,0.5,0.0,0.0,equal
++procurement,A4,0.75,0.0,0.0,equal
++procurement,A4,1.0,0.0,0.0,equal
++procurement,A4,1.5,0.0,0.0,equal
++procurement,A4,2.0,0.0,0.0,equal
++procurement,A4,3.0,0.0,0.0,equal
++procurement,A4,4.0,0.0,0.0,equal
++real estate appraisal,A0,0.25,0.0,0.0,equal
++real estate appraisal,A0,0.5,0.0,0.0,equal
++real estate appraisal,A0,0.75,0.0,0.0,equal
++real estate appraisal,A0,1.0,0.0,0.0,equal
++real estate appraisal,A0,1.5,0.0,0.0,equal
++real estate appraisal,A0,2.0,0.0,0.0,equal
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++academic research,A0,0.25,0.0,0.0,minutes
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++academic research,A3,0.75,0.0,0.6666666666666666,minutes
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++business intelligence,A3,1.0,0.0,0.3333333333333333,minutes
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++procurement,A0,0.25,0.0,0.0,minutes
++procurement,A0,0.5,0.0,0.0,minutes
++procurement,A0,0.75,0.0,0.0,minutes
++procurement,A0,1.0,0.0,0.0,minutes
++procurement,A0,1.5,0.0,0.0,minutes
++procurement,A0,2.0,0.0,0.0,minutes
++procurement,A0,3.0,0.0,0.0,minutes
++procurement,A0,4.0,0.0,0.0,minutes
++procurement,A1,0.25,0.0,0.0,minutes
++procurement,A1,0.5,0.0,0.0,minutes
++procurement,A1,0.75,0.0,0.0,minutes
++procurement,A1,1.0,0.0,0.0,minutes
++procurement,A1,1.5,0.0,0.0,minutes
++procurement,A1,2.0,0.0,0.0,minutes
++procurement,A1,3.0,0.0,0.0,minutes
++procurement,A1,4.0,0.0,0.0,minutes
++procurement,A2,0.25,0.0,0.0,minutes
++procurement,A2,0.5,0.0,0.0,minutes
++procurement,A2,0.75,0.0,0.0,minutes
++procurement,A2,1.0,0.0,0.0,minutes
++procurement,A2,1.5,0.0,0.0,minutes
++procurement,A2,2.0,0.0,0.0,minutes
++procurement,A2,3.0,0.0,0.0,minutes
++procurement,A2,4.0,0.0,0.0,minutes
++procurement,A3,0.25,0.0,0.0,minutes
++procurement,A3,0.5,0.0,0.0,minutes
++procurement,A3,0.75,0.0,0.0,minutes
++procurement,A3,1.0,0.0,0.0,minutes
++procurement,A3,1.5,0.0,0.0,minutes
++procurement,A3,2.0,0.0,0.0,minutes
++procurement,A3,3.0,0.0,0.0,minutes
++procurement,A3,4.0,0.0,0.0,minutes
++procurement,A4,0.25,0.0,0.0,minutes
++procurement,A4,0.5,0.0,0.0,minutes
++procurement,A4,0.75,0.0,0.0,minutes
++procurement,A4,1.0,0.0,0.0,minutes
++procurement,A4,1.5,0.0,0.0,minutes
++procurement,A4,2.0,0.0,0.0,minutes
++procurement,A4,3.0,0.0,0.0,minutes
++procurement,A4,4.0,0.0,0.0,minutes
++real estate appraisal,A0,0.25,0.0,0.0,minutes
++real estate appraisal,A0,0.5,0.0,0.0,minutes
++real estate appraisal,A0,0.75,0.0,0.0,minutes
++real estate appraisal,A0,1.0,0.0,0.0,minutes
++real estate appraisal,A0,1.5,0.0,0.0,minutes
++real estate appraisal,A0,2.0,0.0,0.0,minutes
++real estate appraisal,A0,3.0,0.0,0.0,minutes
++real estate appraisal,A0,4.0,0.0,0.0,minutes
++real estate appraisal,A1,0.25,0.0,0.0,minutes
++real estate appraisal,A1,0.5,0.0,0.0,minutes
++real estate appraisal,A1,0.75,0.0,0.0,minutes
++real estate appraisal,A1,1.0,0.0,0.0,minutes
++real estate appraisal,A1,1.5,0.0,0.0,minutes
++real estate appraisal,A1,2.0,0.0,0.0,minutes
++real estate appraisal,A1,3.0,0.0,0.0,minutes
++real estate appraisal,A1,4.0,0.0,0.0,minutes
++real estate appraisal,A2,0.25,0.0,0.0,minutes
++real estate appraisal,A2,0.5,0.0,0.0,minutes
++real estate appraisal,A2,0.75,0.0,0.3333333333333333,minutes
++real estate appraisal,A2,1.0,0.0,0.3333333333333333,minutes
++real estate appraisal,A2,1.5,0.0,0.3333333333333333,minutes
++real estate appraisal,A2,2.0,0.0,0.3333333333333333,minutes
++real estate appraisal,A2,3.0,0.0,0.3333333333333333,minutes
++real estate appraisal,A2,4.0,0.0,0.3333333333333333,minutes
++real estate appraisal,A3,0.25,0.0,0.0,minutes
++real estate appraisal,A3,0.5,0.0,0.0,minutes
++real estate appraisal,A3,0.75,0.0,0.0,minutes
++real estate appraisal,A3,1.0,0.0,0.0,minutes
++real estate appraisal,A3,1.5,0.0,0.0,minutes
++real estate appraisal,A3,2.0,0.0,0.0,minutes
++real estate appraisal,A3,3.0,0.0,0.0,minutes
++real estate appraisal,A3,4.0,0.0,0.0,minutes
++real estate appraisal,A4,0.25,0.0,0.0,minutes
++real estate appraisal,A4,0.5,0.0,0.0,minutes
++real estate appraisal,A4,0.75,0.0,0.0,minutes
++real estate appraisal,A4,1.0,0.0,0.0,minutes
++real estate appraisal,A4,1.5,0.0,0.0,minutes
++real estate appraisal,A4,2.0,0.0,0.0,minutes
++real estate appraisal,A4,3.0,0.0,0.0,minutes
++real estate appraisal,A4,4.0,0.0,0.0,minutes
++academic research,A0,0.25,15.0,0.0,equal_H15
++academic research,A0,0.5,15.0,0.0,equal_H15
++academic research,A0,0.75,15.0,0.0,equal_H15
++academic research,A0,1.0,15.0,0.0,equal_H15
++academic research,A0,1.5,15.0,0.0,equal_H15
++academic research,A0,2.0,15.0,0.0,equal_H15
++academic research,A0,3.0,15.0,0.0,equal_H15
++academic research,A0,4.0,15.0,0.0,equal_H15
++academic research,A1,0.25,15.0,0.0,equal_H15
++academic research,A1,0.5,15.0,0.0,equal_H15
++academic research,A1,0.75,15.0,1.0,equal_H15
++academic research,A1,1.0,15.0,1.0,equal_H15
++academic research,A1,1.5,15.0,1.0,equal_H15
++academic research,A1,2.0,15.0,1.0,equal_H15
++academic research,A1,3.0,15.0,1.0,equal_H15
++academic research,A1,4.0,15.0,1.0,equal_H15
++academic research,A2,0.25,15.0,0.0,equal_H15
++academic research,A2,0.5,15.0,0.0,equal_H15
++academic research,A2,0.75,15.0,1.0,equal_H15
++academic research,A2,1.0,15.0,1.0,equal_H15
++academic research,A2,1.5,15.0,1.0,equal_H15
++academic research,A2,2.0,15.0,1.0,equal_H15
++academic research,A2,3.0,15.0,1.0,equal_H15
++academic research,A2,4.0,15.0,1.0,equal_H15
++academic research,A3,0.25,15.0,0.0,equal_H15
++academic research,A3,0.5,15.0,0.0,equal_H15
++academic research,A3,0.75,15.0,0.6666666666666666,equal_H15
++academic research,A3,1.0,15.0,1.0,equal_H15
++academic research,A3,1.5,15.0,1.0,equal_H15
++academic research,A3,2.0,15.0,1.0,equal_H15
++academic research,A3,3.0,15.0,1.0,equal_H15
++academic research,A3,4.0,15.0,1.0,equal_H15
++academic research,A4,0.25,15.0,0.0,equal_H15
++academic research,A4,0.5,15.0,0.0,equal_H15
++academic research,A4,0.75,15.0,0.6666666666666666,equal_H15
++academic research,A4,1.0,15.0,1.0,equal_H15
++academic research,A4,1.5,15.0,1.0,equal_H15
++academic research,A4,2.0,15.0,1.0,equal_H15
++academic research,A4,3.0,15.0,1.0,equal_H15
++academic research,A4,4.0,15.0,1.0,equal_H15
++accounting,A0,0.25,15.0,0.0,equal_H15
++accounting,A0,0.5,15.0,0.0,equal_H15
++accounting,A0,0.75,15.0,0.0,equal_H15
++accounting,A0,1.0,15.0,0.0,equal_H15
++accounting,A0,1.5,15.0,0.0,equal_H15
++accounting,A0,2.0,15.0,0.0,equal_H15
++accounting,A0,3.0,15.0,0.0,equal_H15
++accounting,A0,4.0,15.0,0.0,equal_H15
++accounting,A1,0.25,15.0,0.0,equal_H15
++accounting,A1,0.5,15.0,0.0,equal_H15
++accounting,A1,0.75,15.0,0.0,equal_H15
++accounting,A1,1.0,15.0,0.3333333333333333,equal_H15
++accounting,A1,1.5,15.0,1.0,equal_H15
++accounting,A1,2.0,15.0,1.0,equal_H15
++accounting,A1,3.0,15.0,1.0,equal_H15
++accounting,A1,4.0,15.0,1.0,equal_H15
++accounting,A2,0.25,15.0,0.0,equal_H15
++accounting,A2,0.5,15.0,0.0,equal_H15
++accounting,A2,0.75,15.0,0.0,equal_H15
++accounting,A2,1.0,15.0,0.6666666666666666,equal_H15
++accounting,A2,1.5,15.0,1.0,equal_H15
++accounting,A2,2.0,15.0,1.0,equal_H15
++accounting,A2,3.0,15.0,1.0,equal_H15
++accounting,A2,4.0,15.0,1.0,equal_H15
++accounting,A3,0.25,15.0,0.0,equal_H15
++accounting,A3,0.5,15.0,0.0,equal_H15
++accounting,A3,0.75,15.0,0.0,equal_H15
++accounting,A3,1.0,15.0,0.0,equal_H15
++accounting,A3,1.5,15.0,1.0,equal_H15
++accounting,A3,2.0,15.0,1.0,equal_H15
++accounting,A3,3.0,15.0,1.0,equal_H15
++accounting,A3,4.0,15.0,1.0,equal_H15
++accounting,A4,0.25,15.0,0.0,equal_H15
++accounting,A4,0.5,15.0,0.0,equal_H15
++accounting,A4,0.75,15.0,0.0,equal_H15
++accounting,A4,1.0,15.0,0.0,equal_H15
++accounting,A4,1.5,15.0,1.0,equal_H15
++accounting,A4,2.0,15.0,1.0,equal_H15
++accounting,A4,3.0,15.0,1.0,equal_H15
++accounting,A4,4.0,15.0,1.0,equal_H15
++banking,A0,0.25,15.0,0.0,equal_H15
++banking,A0,0.5,15.0,0.0,equal_H15
++banking,A0,0.75,15.0,0.0,equal_H15
++banking,A0,1.0,15.0,0.0,equal_H15
++banking,A0,1.5,15.0,0.0,equal_H15
++banking,A0,2.0,15.0,0.0,equal_H15
++banking,A0,3.0,15.0,0.0,equal_H15
++banking,A0,4.0,15.0,0.0,equal_H15
++banking,A1,0.25,15.0,0.0,equal_H15
++banking,A1,0.5,15.0,0.0,equal_H15
++banking,A1,0.75,15.0,0.0,equal_H15
++banking,A1,1.0,15.0,0.3333333333333333,equal_H15
++banking,A1,1.5,15.0,0.3333333333333333,equal_H15
++banking,A1,2.0,15.0,0.3333333333333333,equal_H15
++banking,A1,3.0,15.0,0.3333333333333333,equal_H15
++banking,A1,4.0,15.0,0.3333333333333333,equal_H15
++banking,A2,0.25,15.0,0.0,equal_H15
++banking,A2,0.5,15.0,0.0,equal_H15
++banking,A2,0.75,15.0,0.0,equal_H15
++banking,A2,1.0,15.0,0.3333333333333333,equal_H15
++banking,A2,1.5,15.0,0.3333333333333333,equal_H15
++banking,A2,2.0,15.0,0.3333333333333333,equal_H15
++banking,A2,3.0,15.0,0.3333333333333333,equal_H15
++banking,A2,4.0,15.0,0.3333333333333333,equal_H15
++banking,A3,0.25,15.0,0.0,equal_H15
++banking,A3,0.5,15.0,0.0,equal_H15
++banking,A3,0.75,15.0,0.0,equal_H15
++banking,A3,1.0,15.0,0.6666666666666666,equal_H15
++banking,A3,1.5,15.0,0.6666666666666666,equal_H15
++banking,A3,2.0,15.0,0.6666666666666666,equal_H15
++banking,A3,3.0,15.0,0.6666666666666666,equal_H15
++banking,A3,4.0,15.0,0.6666666666666666,equal_H15
++banking,A4,0.25,15.0,0.0,equal_H15
++banking,A4,0.5,15.0,0.0,equal_H15
++banking,A4,0.75,15.0,0.0,equal_H15
++banking,A4,1.0,15.0,1.0,equal_H15
++banking,A4,1.5,15.0,1.0,equal_H15
++banking,A4,2.0,15.0,1.0,equal_H15
++banking,A4,3.0,15.0,1.0,equal_H15
++banking,A4,4.0,15.0,1.0,equal_H15
++business intelligence,A0,0.25,15.0,0.0,equal_H15
++business intelligence,A0,0.5,15.0,0.0,equal_H15
++business intelligence,A0,0.75,15.0,0.0,equal_H15
++business intelligence,A0,1.0,15.0,0.0,equal_H15
++business intelligence,A0,1.5,15.0,0.0,equal_H15
++business intelligence,A0,2.0,15.0,0.0,equal_H15
++business intelligence,A0,3.0,15.0,0.0,equal_H15
++business intelligence,A0,4.0,15.0,0.0,equal_H15
++business intelligence,A1,0.25,15.0,0.0,equal_H15
++business intelligence,A1,0.5,15.0,0.0,equal_H15
++business intelligence,A1,0.75,15.0,0.0,equal_H15
++business intelligence,A1,1.0,15.0,0.6666666666666666,equal_H15
++business intelligence,A1,1.5,15.0,0.6666666666666666,equal_H15
++business intelligence,A1,2.0,15.0,0.6666666666666666,equal_H15
++business intelligence,A1,3.0,15.0,0.6666666666666666,equal_H15
++business intelligence,A1,4.0,15.0,0.6666666666666666,equal_H15
++business intelligence,A2,0.25,15.0,0.0,equal_H15
++business intelligence,A2,0.5,15.0,0.0,equal_H15
++business intelligence,A2,0.75,15.0,0.0,equal_H15
++business intelligence,A2,1.0,15.0,0.6666666666666666,equal_H15
++business intelligence,A2,1.5,15.0,1.0,equal_H15
++business intelligence,A2,2.0,15.0,1.0,equal_H15
++business intelligence,A2,3.0,15.0,1.0,equal_H15
++business intelligence,A2,4.0,15.0,1.0,equal_H15
++business intelligence,A3,0.25,15.0,0.0,equal_H15
++business intelligence,A3,0.5,15.0,0.0,equal_H15
++business intelligence,A3,0.75,15.0,0.0,equal_H15
++business intelligence,A3,1.0,15.0,0.3333333333333333,equal_H15
++business intelligence,A3,1.5,15.0,1.0,equal_H15
++business intelligence,A3,2.0,15.0,1.0,equal_H15
++business intelligence,A3,3.0,15.0,1.0,equal_H15
++business intelligence,A3,4.0,15.0,1.0,equal_H15
++business intelligence,A4,0.25,15.0,0.0,equal_H15
++business intelligence,A4,0.5,15.0,0.0,equal_H15
++business intelligence,A4,0.75,15.0,0.0,equal_H15
++business intelligence,A4,1.0,15.0,0.0,equal_H15
++business intelligence,A4,1.5,15.0,0.6666666666666666,equal_H15
++business intelligence,A4,2.0,15.0,0.6666666666666666,equal_H15
++business intelligence,A4,3.0,15.0,0.6666666666666666,equal_H15
++business intelligence,A4,4.0,15.0,0.6666666666666666,equal_H15
++corporate finance,A0,0.25,15.0,0.0,equal_H15
++corporate finance,A0,0.5,15.0,0.0,equal_H15
++corporate finance,A0,0.75,15.0,0.0,equal_H15
++corporate finance,A0,1.0,15.0,0.0,equal_H15
++corporate finance,A0,1.5,15.0,0.0,equal_H15
++corporate finance,A0,2.0,15.0,0.0,equal_H15
++corporate finance,A0,3.0,15.0,0.0,equal_H15
++corporate finance,A0,4.0,15.0,0.0,equal_H15
++corporate finance,A1,0.25,15.0,0.0,equal_H15
++corporate finance,A1,0.5,15.0,0.0,equal_H15
++corporate finance,A1,0.75,15.0,0.3333333333333333,equal_H15
++corporate finance,A1,1.0,15.0,1.0,equal_H15
++corporate finance,A1,1.5,15.0,1.0,equal_H15
++corporate finance,A1,2.0,15.0,1.0,equal_H15
++corporate finance,A1,3.0,15.0,1.0,equal_H15
++corporate finance,A1,4.0,15.0,1.0,equal_H15
++corporate finance,A2,0.25,15.0,0.0,equal_H15
++corporate finance,A2,0.5,15.0,0.0,equal_H15
++corporate finance,A2,0.75,15.0,0.6666666666666666,equal_H15
++corporate finance,A2,1.0,15.0,1.0,equal_H15
++corporate finance,A2,1.5,15.0,1.0,equal_H15
++corporate finance,A2,2.0,15.0,1.0,equal_H15
++corporate finance,A2,3.0,15.0,1.0,equal_H15
++corporate finance,A2,4.0,15.0,1.0,equal_H15
++corporate finance,A3,0.25,15.0,0.0,equal_H15
++corporate finance,A3,0.5,15.0,0.0,equal_H15
++corporate finance,A3,0.75,15.0,1.0,equal_H15
++corporate finance,A3,1.0,15.0,1.0,equal_H15
++corporate finance,A3,1.5,15.0,1.0,equal_H15
++corporate finance,A3,2.0,15.0,1.0,equal_H15
++corporate finance,A3,3.0,15.0,1.0,equal_H15
++corporate finance,A3,4.0,15.0,1.0,equal_H15
++corporate finance,A4,0.25,15.0,0.0,equal_H15
++corporate finance,A4,0.5,15.0,0.0,equal_H15
++corporate finance,A4,0.75,15.0,0.6666666666666666,equal_H15
++corporate finance,A4,1.0,15.0,1.0,equal_H15
++corporate finance,A4,1.5,15.0,1.0,equal_H15
++corporate finance,A4,2.0,15.0,1.0,equal_H15
++corporate finance,A4,3.0,15.0,1.0,equal_H15
++corporate finance,A4,4.0,15.0,1.0,equal_H15
++executive administration,A0,0.25,15.0,0.0,equal_H15
++executive administration,A0,0.5,15.0,0.0,equal_H15
++executive administration,A0,0.75,15.0,0.0,equal_H15
++executive administration,A0,1.0,15.0,0.0,equal_H15
++executive administration,A0,1.5,15.0,0.0,equal_H15
++executive administration,A0,2.0,15.0,0.0,equal_H15
++executive administration,A0,3.0,15.0,0.0,equal_H15
++executive administration,A0,4.0,15.0,0.0,equal_H15
++executive administration,A1,0.25,15.0,0.0,equal_H15
++executive administration,A1,0.5,15.0,0.0,equal_H15
++executive administration,A1,0.75,15.0,0.0,equal_H15
++executive administration,A1,1.0,15.0,0.0,equal_H15
++executive administration,A1,1.5,15.0,0.0,equal_H15
++executive administration,A1,2.0,15.0,0.0,equal_H15
++executive administration,A1,3.0,15.0,0.0,equal_H15
++executive administration,A1,4.0,15.0,0.0,equal_H15
++executive administration,A2,0.25,15.0,0.0,equal_H15
++executive administration,A2,0.5,15.0,0.0,equal_H15
++executive administration,A2,0.75,15.0,0.0,equal_H15
++executive administration,A2,1.0,15.0,0.0,equal_H15
++executive administration,A2,1.5,15.0,0.0,equal_H15
++executive administration,A2,2.0,15.0,0.0,equal_H15
++executive administration,A2,3.0,15.0,0.0,equal_H15
++executive administration,A2,4.0,15.0,0.0,equal_H15
++executive administration,A3,0.25,15.0,0.0,equal_H15
++executive administration,A3,0.5,15.0,0.0,equal_H15
++executive administration,A3,0.75,15.0,0.0,equal_H15
++executive administration,A3,1.0,15.0,0.0,equal_H15
++executive administration,A3,1.5,15.0,0.0,equal_H15
++executive administration,A3,2.0,15.0,0.0,equal_H15
++executive administration,A3,3.0,15.0,0.0,equal_H15
++executive administration,A3,4.0,15.0,0.0,equal_H15
++executive administration,A4,0.25,15.0,0.0,equal_H15
++executive administration,A4,0.5,15.0,0.0,equal_H15
++executive administration,A4,0.75,15.0,0.0,equal_H15
++executive administration,A4,1.0,15.0,0.0,equal_H15
++executive administration,A4,1.5,15.0,0.0,equal_H15
++executive administration,A4,2.0,15.0,0.0,equal_H15
++executive administration,A4,3.0,15.0,0.0,equal_H15
++executive administration,A4,4.0,15.0,0.0,equal_H15
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spb/wp42_uqo

WP42: pilot (150 runs), model sensitivities, recovery experiment, analysis tables/figures, phase 5 audit

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