{"id":"W1926990393","doi":"10.1111/j.1558-5646.2011.01459.x","title":"DIFFERENTIAL SELECTION BETWEEN THE SEXES AND SELECTION FOR SEX","year":2011,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Biology; Selection (genetic algorithm); Sexual selection; Evolutionary biology; Locus (genetics); Genetics; Sexual conflict; Sexual dimorphism; Zoology; Gene; Machine learning","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":[0.0005422989,0.0001704148,0.0003138237,0.000301104,0.0003626758,0.0006742573,0.0004775638,0.000459414,0.003182143],"category_scores_gemma":[0.002085056,0.0001495384,0.0004371919,0.0002116982,0.001027542,0.0007882587,0.0006395814,0.0003247326,0.000342631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005589448,"about_ca_system_score_gemma":0.0002781739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008006457,"about_ca_topic_score_gemma":0.0008124514,"domain_scores_codex":[0.9997866,0.00008091468,0.000008712091,0.00004981198,0.00004447149,0.00002958084],"domain_scores_gemma":[0.9993777,0.0002941943,0.00014176,0.00006899338,0.00003040213,0.00008699567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004830833,0.0002230626,0.07010496,0.0002172018,0.0004081552,0.001505311,0.0008308999,0.2445875,0.1770916,0.4528838,0.00165667,0.05000776],"study_design_scores_gemma":[0.0001568187,0.0003704618,0.06237089,0.00001629903,0.0001053157,0.001091771,0.0002572858,0.7511053,0.008450155,0.1734728,0.002511815,0.00009108773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648311,0.0001587355,0.02991003,0.0005260039,0.00001708475,0.000008624641,0.00003255831,0.00004869403,0.004467193],"genre_scores_gemma":[0.9973695,0.00008255914,0.001680104,0.00003681419,0.000007899857,0.000008217648,0.00001649293,0.00001035165,0.0007880979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003182143,"threshold_uncertainty_score":0.01064533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249685043289719,"score_gpt":0.234463681591862,"score_spread":0.2219668311589648,"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."}}