{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002470321,0.0004378976,0.0002910746,0.001839142,0.002374348,0.003009674,0.0003188085,0.0006090022,0.05743307],"category_scores_gemma":[0.0009227867,0.0002218485,0.0001079237,0.002390282,0.00223866,0.001914474,0.001241565,0.001632733,0.01534747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002471722,"about_ca_system_score_gemma":0.00100522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007972755,"about_ca_topic_score_gemma":0.01598216,"domain_scores_codex":[0.9998282,0.00003749323,0.000007598659,0.00003608912,0.0000464144,0.00004414847],"domain_scores_gemma":[0.999843,0.00005116183,0.00001347893,0.00002575262,0.00004462755,0.0000220501],"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":[0.00005741828,0.00003880616,0.001482236,0.0002755525,0.00001323376,0.0004847205,0.003447126,0.0002801474,0.0002972934,0.6401607,0.1422169,0.2112457],"study_design_scores_gemma":[0.000001022347,0.000004073747,0.001641498,0.00009565614,0.000001075003,0.00008300912,0.0001539778,0.00001470637,0.00005207603,0.006668075,0.9912822,0.000002638248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005734644,0.02246249,0.0005805871,0.002032125,0.0006085423,0.00003540409,0.0006275132,0.00004627182,0.9678724],"genre_scores_gemma":[0.09464926,0.03790649,0.0006555184,0.001112675,0.0004301808,0.00007891012,0.001040904,0.00009050689,0.8640356],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05743307,"threshold_uncertainty_score":0.1921328,"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."}}