{"id":"W2166553313","doi":"10.1111/j.1095-8312.2008.01048.x","title":"Mechanisms of reinforcement in natural and simulated polymorphic populations","year":2008,"lang":"en","type":"article","venue":"Biological Journal of the Linnean Society","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Assortative mating; Biology; Disruptive selection; Fixation (population genetics); Evolutionary biology; Natural selection; Selection (genetic algorithm); Genetic algorithm; Reproductive isolation; Mating; Mating preferences; Reinforcement; Context (archaeology); Population; Mate choice; Genetics; Computer science; Machine learning; Gene","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":[0.001892612,0.0003633061,0.000698415,0.0009096712,0.000882706,0.001110413,0.001636534,0.001414938,0.001882577],"category_scores_gemma":[0.01052603,0.0003798411,0.0008171074,0.0006603156,0.001554241,0.00107319,0.0007418741,0.001058041,0.0001800548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002021369,"about_ca_system_score_gemma":0.0008924251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069851,"about_ca_topic_score_gemma":0.007894202,"domain_scores_codex":[0.9993753,0.000289448,0.00003922236,0.0001336289,0.00007460828,0.00008786612],"domain_scores_gemma":[0.9951873,0.002928913,0.0005819362,0.0004457372,0.0004653851,0.0003907195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001051535,0.00008315297,0.02094004,0.00004033866,0.00007110064,0.0001758238,0.0002882408,0.9645621,0.001543091,0.009747166,0.0004496487,0.001994155],"study_design_scores_gemma":[0.0000507491,0.00005500988,0.00358704,0.000007662479,0.00001465365,0.00004727689,0.00008638494,0.9906125,0.0002415839,0.005098914,0.0001777659,0.00002048432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905668,0.00004855288,0.00752664,0.0001672448,0.00001038849,0.00003176418,0.0001645464,0.00006515857,0.001418911],"genre_scores_gemma":[0.9967456,0.00002439543,0.00268148,0.00002689892,0.000002721048,0.00007845107,0.000117987,0.00001561676,0.00030691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01069851,"threshold_uncertainty_score":0.02127242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09690316703472504,"score_gpt":0.2322399998471343,"score_spread":0.1353368328124092,"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."}}