{"id":"W2135649865","doi":"10.1002/cplx.10092","title":"Prisoner's dilemma and public goods games in different geometries: Compulsory versus voluntary interactions","year":2003,"lang":"en","type":"article","venue":"Complexity","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Public good; Dilemma; Prisoner's dilemma; Dominance (genetics); Public goods game; Social dilemma; Pairwise comparison; Microeconomics; Computer science; Economics; Mathematics; Geometry; Biology; Artificial intelligence","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":[0.001769985,0.0004234345,0.0006790151,0.0004851313,0.0005510413,0.00196934,0.0006226998,0.001209141,0.002087067],"category_scores_gemma":[0.008563264,0.0002952261,0.0004343474,0.0003399301,0.003123257,0.002504705,0.001431998,0.0006276045,0.0001308244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022299,"about_ca_system_score_gemma":0.0005300637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015442,"about_ca_topic_score_gemma":0.001283598,"domain_scores_codex":[0.9985774,0.0009409687,0.00003946097,0.0001057935,0.0001762028,0.0001602701],"domain_scores_gemma":[0.9926318,0.004998485,0.001405135,0.0002608451,0.0001915392,0.0005121332],"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":[0.0004048774,0.0001448503,0.004074327,0.000131473,0.00007435797,0.0005556782,0.0005711043,0.2788996,0.003292434,0.701943,0.001112721,0.008795445],"study_design_scores_gemma":[0.0001883503,0.0001835763,0.003810711,0.00003325573,0.00003090046,0.0002290613,0.0004604364,0.4556576,0.0008106994,0.5374162,0.001131653,0.00004767881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948305,0.0005454204,0.03314824,0.001149346,0.00003341595,0.0000506107,0.00007241633,0.00002322919,0.01667227],"genre_scores_gemma":[0.9964221,0.0001280516,0.002567536,0.00003234291,0.00001167995,0.0000271866,0.00001633887,0.000002463852,0.000792398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002087067,"threshold_uncertainty_score":0.009360731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053842647338355,"score_gpt":0.3370724896628722,"score_spread":0.2316882249290367,"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."}}