1[2 {3 "file": "tab_prisma.tex",4 "caption": "Record flow of the mapping corpus (PRISMA-style, sequential exclusions).",5 "label": "tab:prisma",6 "sources": [7 "data/metadata/prisma_counts.json"8 ],9 "rows": 1110 },11 {12 "file": "tab_eligible_by_year.tex",13 "caption": "Eligible works by publication year (2026 incomplete).",14 "label": "tab:eligible_year",15 "sources": [16 "data/metadata/prisma_counts.json"17 ],18 "rows": 919 },20 {21 "file": "tab_eligible_by_type.tex",22 "caption": "Eligible works by document type.",23 "label": "tab:eligible_type",24 "sources": [25 "data/metadata/prisma_counts.json"26 ],27 "rows": 1228 },29 {30 "file": "tab_linkage.tex",31 "caption": "Record linkage between sources.",32 "label": "tab:linkage",33 "sources": [34 "data/metadata/linkage_report.json"35 ],36 "rows": 1237 },38 {39 "file": "tab_volume_yearly.tex",40 "caption": "Yearly volume and composition of the eligible corpus.",41 "label": "tab:volume_yearly",42 "sources": [43 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"caption": "Rao\u2013Stirling and Leinster\u2013Cobbold diversity of the category mix by year (bootstrap 95\\% CI).",86 "label": "tab:diversity",87 "sources": [88 "results/bibliometrics/diversity_yearly.csv"89 ],90 "rows": 1691 },92 {93 "file": "tab_cagr.tex",94 "caption": "Compound annual growth by category, baseline (2018\u20132022) and post (2023\u20132025).",95 "label": "tab:cagr",96 "sources": [97 "results/bibliometrics/cagr_by_category.csv"98 ],99 "rows": 40100 },101 {102 "file": "tab_countries.tex",103 "caption": "Fractional output of the fifteen largest countries by year.",104 "label": "tab:countries",105 "sources": [106 "./results/bibliometrics/countries_yearly.csv"107 ],108 "rows": 15109 },110 {111 "file": "tab_breaks.tex",112 "caption": "Structural-change estimates by series: ITS level and slope changes at 2022-12 (HAC p-values), placebo p-values, Bai\u2013Perron (BIC) and PELT break dates.",113 "label": "tab:breaks",114 "sources": [115 "./results/econometrics/breaks.csv"116 ],117 "rows": 41118 },119 {120 "file": "tab_emerging_h12.tex",121 "caption": "Out-of-time performance of the emerging-topic detectors at horizon 12 months (test cutoffs 2023-01\u20132024-10).",122 "label": "tab:emerging_h12",123 "sources": [124 "./results/emerging/metrics_h12.json"125 ],126 "rows": 3127 },128 {129 "file": "tab_emerging_h24.tex",130 "caption": "Out-of-time performance of the emerging-topic detectors at horizon 24 months (test cutoffs 2023-01\u20132024-04).",131 "label": "tab:emerging_h24",132 "sources": [133 "./results/emerging/metrics_h24.json"134 ],135 "rows": 3136 },137 {138 "file": "tab_known_set.tex",139 "caption": "Preregistered known-emergence set: detection month, peak-growth month and lead time.",140 "label": "tab:known_set",141 "sources": [142 "./results/emerging/known_set_lead_times.csv"143 ],144 "rows": 12145 },146 {147 "file": "tab_collaboration.tex",148 "caption": "Team size and collaboration indicators by publication year (all eligible works; periods of the source file summed).",149 "label": "tab:collaboration",150 "sources": [151 "./results/bibliometrics/team_size_yearly.csv",152 "./results/bibliometrics/international_collab_yearly.csv"153 ],154 "rows": 9155 },156 {157 "file": "tab_institution_types.tex",158 "caption": "Share of typed affiliations by OpenAlex institution type and year (per cent of affiliation-work pairs).",159 "label": "tab:institution_types",160 "sources": [161 "./results/bibliometrics/institution_types_yearly.csv"162 ],163 "rows": 9164 },165 {166 "file": "tab_country_shares.tex",167 "caption": "Share of fractional output of the fifteen largest countries by year (per cent).",168 "label": "tab:country_shares",169 "sources": [170 "./results/bibliometrics/countries_yearly.csv"171 ],172 "rows": 15173 },174 {175 "file": "tab_country_concentration.tex",176 "caption": "Concentration of output across countries by year, and the two largest producers under full counting.",177 "label": "tab:country_concentration",178 "sources": [179 "./results/bibliometrics/countries_yearly.csv"180 ],181 "rows": 9182 },183 {184 "file": "tab_country_network.tex",185 "caption": "The country co-authorship network by period: edges with at least fifty joint works.",186 "label": "tab:country_network",187 "sources": [188 "./results/bibliometrics/country_pairs_by_period.csv"189 ],190 "rows": 2191 },192 {193 "file": "tab_country_pairs.tex",194 "caption": "The twenty strongest country pairs by period (number of joint works).",195 "label": "tab:country_pairs",196 "sources": [197 "./results/bibliometrics/country_pairs_by_period.csv"198 ],199 "rows": 20200 },201 {202 "file": "tab_institution_concentration.tex",203 "caption": "Institutions with at least two hundred works per period: coverage and concentration (fractional counting).",204 "label": "tab:institution_concentration",205 "sources": [206 "./results/bibliometrics/top_institutions_by_period.csv"207 ],208 "rows": 3209 },210 {211 "file": "tab_top_institutions.tex",212 "caption": "The twenty-five institutions with the largest fractional output in the post period, with their baseline output.",213 "label": "tab:top_institutions",214 "sources": [215 "./results/bibliometrics/top_institutions_by_period.csv"216 ],217 "rows": 25218 },219 {220 "file": "tab_source_types.tex",221 "caption": "Distribution of works over source types among the listed sources, by period (per cent).",222 "label": "tab:source_types",223 "sources": [224 "./results/bibliometrics/top_sources_by_period.csv"225 ],226 "rows": 2227 },228 {229 "file": "tab_top_sources.tex",230 "caption": "The twenty largest sources (venues) by period, with OpenAlex source type.",231 "label": "tab:top_sources",232 "sources": [233 "./results/bibliometrics/top_sources_by_period.csv"234 ],235 "rows": 20236 },237 {238 "file": "tab_cited_age.tex",239 "caption": "Age of cited works by citing year (resolved references of eligible works; corpus version of the result file at generation time).",240 "label": 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coverage by citing year: declared, resolved, internal and external references of eligible works.",276 "label": "tab:reference_coverage",277 "sources": [278 "./results/graph/reference_coverage_yearly.csv"279 ],280 "rows": 9281 },282 {283 "file": "tab_field_flows.tex",284 "caption": "Destination of the resolved references of eligible works by citing year: inside the corpus, computer science outside it, and the seven largest other OpenAlex fields (per cent of resolved references).",285 "label": "tab:field_flows",286 "sources": [287 "./results/graph/field_flows_yearly.csv"288 ],289 "rows": 9290 },291 {292 "file": "tab_net_area_flows.tex",293 "caption": "Citation-flow matrices between the eight areas of the ontology by period: share of each citing area's internal references received by each cited area (per cent).",294 "label": "tab:net_area_flows",295 "sources": [296 "./results/graph/area_flows_yearly.csv"297 ],298 "rows": 16299 },300 {301 "file": "tab_net_modularity.tex",302 "caption": 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"sources": [324 "./results/bibliometrics/category_actors_yearly.csv"325 ],326 "rows": 40327 },328 {329 "file": "tab_net_ai_vs_rest.tex",330 "caption": "Actor shares of works whose primary category is in the AI/ML area against all other areas, by period (per cent).",331 "label": "tab:net_ai_vs_rest",332 "sources": [333 "./results/bibliometrics/category_actors_yearly.csv"334 ],335 "rows": 4336 },337 {338 "file": "tab_net_ai_vs_rest_yearly.tex",339 "caption": "China-affiliated, company-affiliated and international shares of works by year, AI/ML area against all other areas (per cent).",340 "label": "tab:net_ai_vs_rest_yearly",341 "sources": [342 "./results/bibliometrics/category_actors_yearly.csv"343 ],344 "rows": 9345 },346 {347 "file": "tab_net_category_gini.tex",348 "caption": "Gini coefficient of 36-month citations $c^{(36)}$ by primary category and publication year, for years with a complete window; baseline mean, change of the last complete year against it, and share uncited at 36 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27408 },409 {410 "file": "tab_ai_landmark_flags.tex",411 "caption": "Specialist screening of the 234 AI/ML landmark candidates: records by primary category and data-quality flag.",412 "label": "tab:ai_landmark_flags",413 "sources": [414 "./literature_synthesis/agent_E/contributions.csv"415 ],416 "rows": 9417 },418 {419 "file": "tab_ai_contribution_types.tex",420 "caption": "Contribution type of the 234 AI/ML landmark candidates by primary category (specialist judgement from abstract or metadata).",421 "label": "tab:ai_contribution_types",422 "sources": [423 "./literature_synthesis/agent_E/contributions.csv"424 ],425 "rows": 9426 },427 {428 "file": "tab_ai_landmarks.tex",429 "caption": "The 234 AI/ML landmark candidates with the specialist's contribution type and data-quality flag (titles in literature\\_synthesis/agent\\_E/contributions.csv).",430 "label": "tab:ai_landmarks",431 "sources": [432 "./literature_synthesis/agent_E/contributions.csv"433 ],434 "rows": 234435 },436 {437 "file": "tab_security_counts.tex",438 "caption": "Eligible works in the five security-and-privacy categories by publication year: works carrying the category (all) and works whose primary category it is (prim.).",439 "label": "tab:security_counts",440 "sources": [441 "./results/graph/category_counts_yearly.csv"442 ],443 "rows": 9444 },445 {446 "file": "tab_security_summary.tex",447 "caption": "Growth and structural-change summary for the five security-and-privacy categories (multi-label counts).",448 "label": "tab:security_summary",449 "sources": [450 "./results/graph/category_counts_yearly.csv",451 "./results/econometrics/breaks.csv"452 ],453 "rows": 5454 },455 {456 "file": "tab_security_llm_cooccurrence.tex",457 "caption": "Co-classification of security-and-privacy works with the LLM, AI-safety and AI-agents categories, by publication year: number of works carrying both categories and share of the security category's works.",458 "label": "tab:security_llm_cooccurrence",459 "sources": 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category (all) and works whose primary category it is (prim.).",487 "label": "tab:theory_counts",488 "sources": [489 "./results/graph/category_counts_yearly.csv"490 ],491 "rows": 9492 },493 {494 "file": "tab_theory_summary.tex",495 "caption": "Growth and structural-change summary for the six theory and software categories (multi-label counts).",496 "label": "tab:theory_summary",497 "sources": [498 "./results/graph/category_counts_yearly.csv",499 "./results/econometrics/breaks.csv"500 ],501 "rows": 6502 },503 {504 "file": "tab_theory_llm_cooccurrence.tex",505 "caption": "Co-classification of theory and software works with the LLM category, by publication year: number of works carrying both categories and share of the category's multi-label count.",506 "label": "tab:theory_llm_cooccurrence",507 "sources": [508 "./results/graph/category_cooccurrence_yearly.csv",509 "./results/graph/category_counts_yearly.csv"510 ],511 "rows": 9512 },513 {514 "file": "tab_theory_landmark_audit.tex",515 "caption": "Specialist audit of the automatically selected landmark candidates of the theory and software areas, by verdict and primary category.",516 "label": "tab:theory_landmark_audit",517 "sources": [518 "./literature_synthesis/agent_G/contributions.csv",519 "./literature_synthesis/landmarks/theory_landmarks.csv",520 "./literature_synthesis/landmarks/software_pl_landmarks.csv"521 ],522 "rows": 9523 },524 {525 "file": "tab_theory_landmarks_discussed.tex",526 "caption": "Landmark candidates of the theory and software areas retained as in-scope research or survey contributions, with the contribution type judged from the abstract or metadata.",527 "label": "tab:theory_landmarks_discussed",528 "sources": [529 "./literature_synthesis/agent_G/contributions.csv"530 ],531 "rows": 37532 }533]