{"id":"W2777070472","doi":"10.1163/15685209-12341440","title":"Babylonian Populations, Servility, and Cuneiform Records","year":2017,"lang":"en","type":"article","venue":"Journal of the Economic and Social History of the Orient","topic":"Ancient Near East History","field":"Arts and Humanities","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Cuneiform; Settlement (finance); History; Politics; Population; Phenomenon; Scale (ratio); Incentive; Ideology; Transferability; Geography; Genealogy; Ancient history; Sociology; Demography; Political science; Economics; Law; Cartography; Market economy; Epistemology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003406928,0.0000658576,0.000169044,0.00002533228,0.001003513,0.0000300891,0.0003280075,0.00002917294,0.0001995044],"category_scores_gemma":[0.00001817406,0.00004210598,0.0001413705,0.000002026637,0.0008449172,0.0001943789,0.0001316914,0.0001253472,0.000005472001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007811349,"about_ca_system_score_gemma":0.000172748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002897526,"about_ca_topic_score_gemma":0.001479042,"domain_scores_codex":[0.9994824,0.00003783838,0.0002598041,0.00006266395,0.0000817479,0.00007555637],"domain_scores_gemma":[0.9988919,0.000009685195,0.0008348157,0.0001908856,0.00004335665,0.00002939162],"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":[0.000215235,0.0001394423,0.06503178,0.0001406644,0.0001941516,0.000001648433,0.2748344,0.00001865953,0.00004018497,0.3266921,0.3239001,0.008791639],"study_design_scores_gemma":[0.000233348,0.00002543641,0.05036186,0.00002463347,0.00004670705,0.000005275201,0.001076345,0.00003623976,0.000001714069,0.003251551,0.9448759,0.00006098537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610245,0.0008867891,0.000001125077,0.002216353,0.01022687,0.00006610054,0.00001100688,0.000002303667,0.02556496],"genre_scores_gemma":[0.9659653,0.00002126018,0.00001663338,0.0001340638,0.00082938,4.602153e-7,1.16711e-7,0.000006711603,0.03302607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6209758,"threshold_uncertainty_score":0.7718311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05457138529214992,"score_gpt":0.2302660665917675,"score_spread":0.1756946812996175,"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."}}