{"id":"W4403868373","doi":"10.15184/aqy.2024.163","title":"Ancient inequality and economic growth","year":2024,"lang":"en","type":"article","venue":"Antiquity","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Inequality; History; Economics; Mathematics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00195982,0.00008036407,0.0001312615,0.00003938588,0.0003174737,0.0001767285,0.0001296484,0.00007898156,0.0002617582],"category_scores_gemma":[0.0001306629,0.00007310297,0.00005542454,0.0001038745,0.0002366564,0.0003383086,0.00007657045,0.0001112081,0.0001701419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280635,"about_ca_system_score_gemma":0.0001952719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008161686,"about_ca_topic_score_gemma":0.0029886,"domain_scores_codex":[0.9989561,0.0001885488,0.0001756183,0.0002562029,0.0001550125,0.0002685311],"domain_scores_gemma":[0.999588,0.0001228523,0.00002763535,0.0001252319,0.00003033181,0.0001059269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008538808,0.00003807719,0.08106647,0.0001064444,0.00001961192,0.000008910041,0.009317279,2.634192e-7,0.00012548,0.8866225,0.01749927,0.005187125],"study_design_scores_gemma":[0.0002292242,0.00008260374,0.3034629,0.00005731411,0.00003189428,0.000002766888,0.00205689,0.0004551642,0.0009669091,0.05464327,0.6375328,0.000478288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255015,0.0004715864,0.0001533335,0.002509414,0.001048011,0.000102513,0.00003038413,0.0001446834,0.07003862],"genre_scores_gemma":[0.9976532,0.0004587858,0.00004415947,0.0005766341,0.0004398266,0.000003267499,0.000003294482,0.000005844239,0.000814917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8319793,"threshold_uncertainty_score":0.9984431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04187093639635452,"score_gpt":0.344562052322887,"score_spread":0.3026911159265325,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}