{"id":"W3023447299","doi":"10.1111/evo.13993","title":"Artificial selection on sexual aggression: Correlated traits and possible trade‐offs","year":2020,"lang":"en","type":"article","venue":"Evolution","topic":"Insect behavior and control techniques","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Mating; Aggression; Sexual selection; Zoology; Mating preferences; Antagonistic Coevolution; Evolutionary biology; Mate choice; Sexual conflict; Developmental psychology","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":[0.0006970825,0.0005240701,0.0004374839,0.0005335148,0.0003173405,0.0005798432,0.0006289932,0.0003979374,0.001402991],"category_scores_gemma":[0.001031279,0.0002126125,0.0002971757,0.0003572856,0.0005693888,0.0002658265,0.0008024474,0.0006424981,0.0001480837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005274734,"about_ca_system_score_gemma":0.0002417153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003278968,"about_ca_topic_score_gemma":0.001360223,"domain_scores_codex":[0.9991442,0.0003625159,0.0000624301,0.0001569921,0.0002143001,0.0000596351],"domain_scores_gemma":[0.9986849,0.000459095,0.0003862662,0.0002138823,0.00008213679,0.0001736438],"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":[0.000429798,0.0002354023,0.04198328,0.0001105848,0.0001897419,0.0002600894,0.0001373558,0.001109521,0.9374238,0.0006999989,0.0001028797,0.01731762],"study_design_scores_gemma":[0.0001279148,0.001341058,0.8577493,0.00005116484,0.000350301,0.001885875,0.0002530681,0.02546857,0.1077612,0.001011291,0.003844742,0.0001555933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978526,0.0001549362,0.0009959325,0.00003102029,0.000003331247,0.00001261105,0.00008681446,0.00002740809,0.0008353704],"genre_scores_gemma":[0.996622,0.0001456321,0.002206993,0.00009355736,0.000008899234,0.00005486605,0.0002828679,0.00004107424,0.0005441238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001402991,"threshold_uncertainty_score":0.004693508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669090881022924,"score_gpt":0.2285214434884191,"score_spread":0.2018305346781899,"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."}}