{"id":"W1657305500","doi":"10.1371/journal.pcbi.1004349","title":"Asymmetric Evolutionary Games","year":2015,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imitation; Evolutionary game theory; Game theory; Asymmetry; Dilemma; Evolutionary biology; Mathematical economics; Baseline (sea); Evolutionarily stable strategy; Computer science; Biology; Economics; Psychology; Mathematics; Social psychology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001541222,0.0008570183,0.00100082,0.0008781885,0.0009103089,0.002227532,0.001896189,0.00160395,0.006442148],"category_scores_gemma":[0.007113601,0.0003241898,0.0008100557,0.0007218675,0.001978752,0.003200601,0.002158666,0.001907979,0.0007688422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460142,"about_ca_system_score_gemma":0.001047729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577898,"about_ca_topic_score_gemma":0.001216371,"domain_scores_codex":[0.9980288,0.0009028195,0.0001127331,0.0002572015,0.000494392,0.0002040511],"domain_scores_gemma":[0.9976036,0.001261117,0.0003098543,0.0002984657,0.0002818286,0.0002451969],"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":[0.00001639365,0.00001470686,0.0002266564,0.00003939543,0.00001567472,0.000114654,0.0001070353,0.01614286,0.0004227319,0.9763836,0.001473433,0.005043009],"study_design_scores_gemma":[0.00002421432,0.00001675359,0.0001627375,0.00001923516,0.00001078372,0.0001492707,0.00006000686,0.09802276,0.0001938187,0.8921731,0.009154474,0.00001284277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0699707,0.001287884,0.773109,0.003396423,0.0003466139,0.0003935681,0.0006991783,0.0002410018,0.1505557],"genre_scores_gemma":[0.8923285,0.001463919,0.07518054,0.0008639967,0.0002801562,0.0005452335,0.0005035923,0.00007344434,0.02876061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006442148,"threshold_uncertainty_score":0.02155119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0543718624271035,"score_gpt":0.3213933682647315,"score_spread":0.267021505837628,"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."}}