{"id":"W4388812385","doi":"10.1016/j.automatica.2023.111354","title":"Evolutionary matrix-game dynamics under imitation in heterogeneous populations","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University; University of Alberta","funders":"Alberta Environment and Parks","keywords":"Imitation; Mathematical economics; Stochastic game; Population; Singleton; Outcome (game theory); Set (abstract data type); Normal-form game; Invariant (physics); Mathematics; Evolutionary game theory; Matrix (chemical analysis); Evolutionary dynamics; Repeated game; Computer science; Game theory; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004701476,0.00007694886,0.00009430978,0.0001987071,0.0003595052,0.00003828993,0.000123807,0.00009335455,0.0002390957],"category_scores_gemma":[0.0001888745,0.00008663833,0.00004239254,0.0008918869,0.000115841,0.0003038431,0.00002644038,0.00007894921,0.0008049562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003389775,"about_ca_system_score_gemma":0.000138192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003518182,"about_ca_topic_score_gemma":0.003896525,"domain_scores_codex":[0.9987711,0.0003003216,0.0002443981,0.000155827,0.0002735111,0.0002548748],"domain_scores_gemma":[0.9995297,0.0001708042,0.00005027584,0.0001341761,0.00005892946,0.00005607809],"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":[0.00000618897,0.00004548169,0.002978702,0.000006859559,0.000005847939,0.000005754768,0.002907292,0.02925384,0.00002886159,0.9629114,0.0005280506,0.001321734],"study_design_scores_gemma":[0.0001905758,0.00002595954,0.16429,0.00002621007,0.00001142148,0.000003903067,0.003333661,0.4006782,0.000002632489,0.4306079,0.0006565485,0.0001729493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774858,0.00008051081,0.004109028,0.006147909,0.0003987345,0.0003824232,0.0000173042,0.0007325746,0.01064569],"genre_scores_gemma":[0.9961714,0.0000307992,0.0007150943,0.00009023245,0.00007484772,0.00004485019,0.0001550454,0.00001073851,0.002707046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5323035,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03991907481556687,"score_gpt":0.3560194485693559,"score_spread":0.316100373753789,"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."}}