{"id":"W2034167740","doi":"10.1142/s0219525911003256","title":"THE COEVOLUTION OF GROUP SIZE AND LEADERSHIP: AN AGENT-BASED PUBLIC GOODS MODEL FOR PREHISPANIC PUEBLO SOCIETIES","year":2011,"lang":"en","type":"article","venue":"Advances in Complex Systems","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Science Foundation","keywords":"Public good; Group (periodic table); Competition (biology); Outcome (game theory); Productivity; Public goods game; Parameterized complexity; Coevolution; Microeconomics; Economics; Computer science; Economic growth; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.001458933,0.0000951511,0.0001615308,0.00003079187,0.0006689255,0.0000495647,0.0002532801,0.00007271612,0.00001080256],"category_scores_gemma":[0.0001871365,0.00007917575,0.00004283072,0.0001594017,0.0006575129,0.0008184394,0.00001671671,0.00006500324,8.284317e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009220924,"about_ca_system_score_gemma":0.00009916494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002123001,"about_ca_topic_score_gemma":0.005011998,"domain_scores_codex":[0.9985119,0.000506037,0.0002921168,0.0001937367,0.0002151503,0.0002810514],"domain_scores_gemma":[0.9990045,0.0005021106,0.0001550684,0.0001662288,0.0001172396,0.00005484319],"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":[0.0001323267,0.0001259956,0.003109455,0.0001508868,0.00001201484,1.27873e-7,0.01042197,0.003300248,0.0004828955,0.9803048,0.0001819325,0.001777319],"study_design_scores_gemma":[0.001354329,0.0005753435,0.006303658,0.0001301954,0.0000318361,0.000001673594,0.08068287,0.7906334,0.00003824526,0.09214374,0.02765365,0.0004510277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3672986,0.08731151,0.5078696,0.002326034,0.002790742,0.007190718,0.0001975661,0.0005167873,0.02449841],"genre_scores_gemma":[0.9975975,0.0003123649,0.001123557,0.00004679563,0.00008181009,0.0001663732,0.00001092071,0.000008643563,0.0006520952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8881611,"threshold_uncertainty_score":0.5144901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2306654617821186,"score_gpt":0.3350797936820393,"score_spread":0.1044143318999206,"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."}}