{"id":"W4385256381","doi":"10.1007/978-3-031-34336-0_7","title":"Why Were Rabbits Hunted in the Past? Insights from an Agent-Based Model of Human Diet Breadth in Iberia During the Last Glacial Maximum","year":2023,"lang":"en","type":"book-chapter","venue":"Themes in contemporary archaeology","topic":"Pleistocene-Era Hominins and Archaeology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Dynamism; Foraging; Ecology; Glacial period; Geography; Predation; Last Glacial Maximum; Flannery; Relevance (law); dBm; Agricultural revolution; Biology; Engineering; Epistemology; Paleontology; Philosophy; Political science; Agriculture; Law","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":[0.0009558826,0.0003223283,0.0004007453,0.0006915208,0.0008208194,0.002630051,0.0007657916,0.001012154,0.003681065],"category_scores_gemma":[0.001860419,0.0002802991,0.0004179068,0.0007800991,0.001825926,0.001911973,0.0007412586,0.0006369793,0.000227336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661756,"about_ca_system_score_gemma":0.0006121924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01982746,"about_ca_topic_score_gemma":0.02155947,"domain_scores_codex":[0.9997912,0.0001059208,0.00000763161,0.00004870687,0.00001494561,0.00003160034],"domain_scores_gemma":[0.9993568,0.0003865254,0.000136621,0.00003318928,0.00002720208,0.00005964404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003608614,0.0001892246,0.09350441,0.0001505925,0.0003314537,0.0009974869,0.01416573,0.08321469,0.00196514,0.760344,0.002498979,0.04227737],"study_design_scores_gemma":[0.00007569847,0.0001381908,0.09670868,0.0001685702,0.0002212854,0.0007635762,0.01082807,0.2444187,0.0003834359,0.6277205,0.01849978,0.00007345138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8667322,0.003253554,0.03294122,0.006252978,0.00005010017,0.00002471487,0.0003816423,0.0000480984,0.09031548],"genre_scores_gemma":[0.991515,0.0005538396,0.004221033,0.0001370914,0.0000112956,0.00002018361,0.00005859245,0.00001232995,0.003470563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01982746,"threshold_uncertainty_score":0.03942412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06065418072883738,"score_gpt":0.2993525178645275,"score_spread":0.2386983371356901,"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."}}