{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005941629,0.00008605266,0.00008706676,0.000007920675,0.0001930983,0.00002978847,0.00004734321,0.0001120682,0.00009757332],"category_scores_gemma":[0.00001955111,0.00003667677,0.00002650534,0.0002160988,0.0000227314,0.00008187486,0.00000958152,0.0001349918,0.00001527741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002579614,"about_ca_system_score_gemma":0.000005800437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008220399,"about_ca_topic_score_gemma":0.00009416741,"domain_scores_codex":[0.999375,0.0000510909,0.0001156585,0.0002005761,0.0001192413,0.0001383825],"domain_scores_gemma":[0.9998358,0.00002291578,0.00004365899,0.000009873082,0.00001550776,0.0000722189],"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":[0.000103743,0.00003916118,0.0023208,0.000001395605,0.00000199007,0.000001500966,0.00008883619,0.000001956799,0.8080423,0.0004924971,0.000613328,0.1882924],"study_design_scores_gemma":[0.0001388302,0.001983531,0.9713084,0.00003059047,0.00002123791,0.000009713789,0.0001619072,0.003333774,0.02127428,0.000529673,0.001000008,0.0002080116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978204,0.00009668761,0.00003914894,0.001417303,0.00004867147,0.0001461284,0.00001087022,0.0002295775,0.0001912348],"genre_scores_gemma":[0.9993529,0.000007001517,0.00001595334,0.0002452592,0.0003166228,0.00001041501,0.00001697365,7.725603e-7,0.00003412456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9689876,"threshold_uncertainty_score":0.1495636,"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."}}