{"id":"W2170637920","doi":"10.1111/j.1420-9101.2009.01773.x","title":"The diversification of mate preferences by natural and sexual selection","year":2009,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; University of Ottawa","funders":"","keywords":"Biology; Sexual selection; Mate choice; Natural selection; Selection (genetic algorithm); Ecological selection; Evolutionary biology; Diversification (marketing strategy); Genetic algorithm; Generality; Preference; Experimental evolution; Ecology; Mating; Genetics; Gene; Artificial intelligence; Statistics","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":[0.001331768,0.000281704,0.000241005,0.0004368094,0.0001778848,0.0005829686,0.0004568852,0.0002900347,0.0008728573],"category_scores_gemma":[0.001483249,0.0002719764,0.0003745954,0.0001543191,0.0006885323,0.0003339435,0.0007076898,0.0003874643,0.0001127878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004130615,"about_ca_system_score_gemma":0.0002421082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002866895,"about_ca_topic_score_gemma":0.001221201,"domain_scores_codex":[0.999347,0.0003081498,0.00004364591,0.0001361683,0.00009573229,0.00006928243],"domain_scores_gemma":[0.9989136,0.0003757858,0.000298869,0.0002020223,0.00009190389,0.0001177109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005985028,0.0003216633,0.2808299,0.0001235336,0.0003362571,0.0002424523,0.0003788916,0.002931411,0.6764457,0.001343683,0.0001074375,0.03634056],"study_design_scores_gemma":[0.00006424268,0.001125696,0.9552937,0.00001488801,0.0001005763,0.0007499189,0.0003268649,0.0105656,0.02938351,0.001298146,0.001014594,0.00006239007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990294,0.00009145794,0.0005125826,0.00001114669,0.000001509905,0.000004228476,0.00001419313,0.000004751166,0.0003307559],"genre_scores_gemma":[0.9987576,0.00005440397,0.0008916854,0.00003372165,0.000002765891,0.000008924566,0.00004780569,0.000005164876,0.0001978596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001331768,"threshold_uncertainty_score":0.007043123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362392723277905,"score_gpt":0.2156001712020126,"score_spread":0.1919762439692335,"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."}}