{"id":"W2959624346","doi":"10.1016/j.jtbi.2019.07.010","title":"The joint evolution of cooperation and competition","year":2019,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Coevolution; Competition (biology); Microeconomics; Population; Evolutionary dynamics; Economics; Biology; Evolutionary biology; Ecology; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.001876095,0.00003596743,0.0001081018,0.00003339447,0.0001811023,0.00001347581,0.00008290818,0.00007020543,0.0002058814],"category_scores_gemma":[0.0004706357,0.00002187203,0.00003751757,0.00007246124,0.001093752,0.00009286262,0.00001580839,0.0001007876,0.000009971896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004933263,"about_ca_system_score_gemma":0.00009386093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008746591,"about_ca_topic_score_gemma":0.00001262469,"domain_scores_codex":[0.9988838,0.000633871,0.0002527677,0.00004856503,0.00009221532,0.00008873711],"domain_scores_gemma":[0.9991434,0.0003498048,0.0001561737,0.00005272894,0.0002627843,0.00003509547],"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":[0.0001021082,0.00001641204,0.0008259847,0.000001985891,0.00000849874,1.254468e-7,0.0002818213,0.00001576857,0.01350423,0.984289,0.000019819,0.0009342522],"study_design_scores_gemma":[0.0003248916,0.0006608833,0.00246106,0.00002758315,0.00001766209,0.00001666085,0.001337891,0.0002819712,0.0009254719,0.9879288,0.005963271,0.00005387085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980222,0.0005482691,0.00611851,0.004391338,0.0004323222,0.00009993204,0.000001675976,0.000004119936,0.008181787],"genre_scores_gemma":[0.9993333,0.0002930683,0.00009864478,0.00004239068,0.0001513585,5.535037e-7,9.02866e-7,0.000001638631,0.00007819569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0191112,"threshold_uncertainty_score":0.4029976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006982326118884192,"score_gpt":0.2661722731369585,"score_spread":0.2591899470180742,"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."}}