{"id":"W4319659636","doi":"10.1017/9781108878142","title":"Economic Prehistory","year":2023,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Elite; Civilization; Geography; Urbanization; Population; Prehistory; Economy; Population growth; Economic geography; Development economics; Economic history; Political science; History; Economic growth; Sociology; Archaeology; Politics; Economics; Demography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006670315,0.0002037059,0.000235144,0.00008186391,0.0003106636,0.000005876503,0.0003453257,0.0001929343,0.00006810277],"category_scores_gemma":[0.000002190096,0.0002278657,0.0001205252,0.000004055485,0.0006395796,0.00005381756,0.0001420196,0.0002600758,0.001192351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009490855,"about_ca_system_score_gemma":0.00009652843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004103803,"about_ca_topic_score_gemma":0.0001645586,"domain_scores_codex":[0.9991265,0.00003847,0.00009716945,0.0003729899,0.000104313,0.0002605735],"domain_scores_gemma":[0.9995038,0.00008405958,0.00009695763,0.0002070392,0.000004913639,0.0001032229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000709173,0.000003494403,0.003383318,0.00006699638,0.0001822764,0.0004070205,0.0001096722,0.0001852263,5.674482e-7,0.03474578,0.9568906,0.003954113],"study_design_scores_gemma":[0.0001526864,0.00003950438,0.009247565,0.00002509937,0.00005653297,0.000004471447,0.00002965626,0.0000782127,0.000003651342,0.0000149113,0.9901009,0.000246784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008136108,0.0003947266,0.00001058744,0.00001054159,0.000639473,0.0001584334,0.0007547528,0.0001245817,0.9970933],"genre_scores_gemma":[0.0004460246,0.000338697,0.00001661233,0.0000457484,0.000148699,1.20834e-7,0.0002824897,0.000008269141,0.9987133],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03473087,"threshold_uncertainty_score":0.9995853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485946904330341,"score_gpt":0.1604733324066106,"score_spread":0.1456138633633072,"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."}}