{"id":"W4379532900","doi":"10.1353/hub.2009.a362943","title":"Demography and Archaeology","year":2009,"lang":"en","type":"article","venue":"Human Biology","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Arthur B. McDonald-Canadian Astroparticle Physics Research Institute","funders":"","keywords":"Population; Agricultural revolution; Prehistory; Settlement (finance); History; Archaeology; Prehistoric archaeology; Archaeological theory; Historical demography; Population growth; Historical archaeology; Geography; Sociology; Anthropology; Ethnology; Demography; Agriculture; Research methodology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001856992,0.0005464171,0.0005916384,0.002692235,0.00136119,0.004171504,0.0005588346,0.002196276,0.009595512],"category_scores_gemma":[0.004942336,0.0003350213,0.0002063888,0.002807112,0.01719996,0.007483892,0.003099265,0.00305104,0.001553767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003133357,"about_ca_system_score_gemma":0.00146597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006343759,"about_ca_topic_score_gemma":0.006804324,"domain_scores_codex":[0.9978558,0.001361925,0.00009972392,0.0003595464,0.0002563381,0.00006667939],"domain_scores_gemma":[0.9977397,0.001400287,0.0002003496,0.0003264129,0.000225709,0.0001075623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006663206,0.000006586419,0.0006059734,0.0001370979,0.000009299311,0.0000419916,0.001872849,0.0005620052,0.0000513367,0.9051834,0.03752544,0.05399743],"study_design_scores_gemma":[0.000003846696,0.000006687727,0.001011338,0.0005677619,0.000002899488,0.0001587619,0.001400277,0.0002295366,0.00003744147,0.469321,0.5272486,0.00001183714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007602853,0.391423,0.01872049,0.1780945,0.004449838,0.00004079477,0.0005212695,0.0001198617,0.3990274],"genre_scores_gemma":[0.4957182,0.3210373,0.02206048,0.02402623,0.008188894,0.0001661367,0.0006105379,0.0002273118,0.1279649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009595512,"threshold_uncertainty_score":0.0321002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236036725602622,"score_gpt":0.3505405364390966,"score_spread":0.3269368638788344,"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."}}