{"id":"W245221411","doi":"","title":"Evolutionary game theory: ESS, convergence stability, and NIS","year":2009,"lang":"en","type":"article","venue":"Evolutionary ecology research","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Stability (learning theory); Evolutionarily stable strategy; Terminology; Convergence (economics); Evolutionary game theory; Evolutionary dynamics; Evolutionary biology; Biology; Population; Mathematical economics; Simple (philosophy); Game theory; Computer science; Mathematics; Epistemology; Machine learning; Economics; Demography; Sociology","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":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.006770362,0.0001783059,0.0002404543,0.0002955785,0.002747982,0.00005568081,0.0005050639,0.0003427797,0.004348493],"category_scores_gemma":[0.001776204,0.0001903844,0.00006911685,0.0009161208,0.003339945,0.0007816941,0.0001824544,0.000681673,0.0005223528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006181765,"about_ca_system_score_gemma":0.001250039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001788221,"about_ca_topic_score_gemma":0.0004518535,"domain_scores_codex":[0.9925144,0.004650264,0.0003468665,0.0006466522,0.0008593634,0.0009824644],"domain_scores_gemma":[0.9968871,0.001559429,0.00006422212,0.000374154,0.0007984641,0.000316619],"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":[0.0002747315,0.0003134571,0.04198777,0.00000821059,0.00001922599,0.00001680859,0.002525322,0.0000229549,0.0003763825,0.9414544,0.01154814,0.001452663],"study_design_scores_gemma":[0.0003400478,0.0004634576,0.3994933,0.00001360351,0.000009951403,0.00002643498,0.003398365,0.0005072846,0.00003409347,0.5649869,0.03049488,0.0002317337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819634,0.004419248,0.0003291008,0.02721012,0.0006452282,0.001183199,0.00004258074,0.0003003595,0.08390678],"genre_scores_gemma":[0.9903221,0.001069032,0.0003263035,0.0003668701,0.0004691675,0.00008239548,0.00004083955,0.0000112988,0.007312016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3764675,"threshold_uncertainty_score":0.9993724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06597119996112859,"score_gpt":0.3892804426695932,"score_spread":0.3233092427084646,"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."}}