{"id":"W4234405142","doi":"10.1554/04-662","title":"EXPERIMENTAL EVIDENCE FOR MULTIVARIATE STABILIZING SEXUAL SELECTION","year":2005,"lang":"en","type":"article","venue":"Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Multivariate statistics; Selection (genetic algorithm); Natural selection; Population; Sexual selection; Stabilizing selection; Disruptive selection; Evolutionary biology; Multivariate analysis; Statistics; Mathematics; Demography; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001621706,0.00006458418,0.00005384279,0.000006249014,0.0002394357,0.00001918971,0.00004546385,0.00005064097,0.0001120312],"category_scores_gemma":[0.00004863065,0.00002702892,0.00003582675,0.0001074027,0.00001860879,0.0003186986,0.00001372156,0.00004319861,0.00002513404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001524424,"about_ca_system_score_gemma":0.000004701078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003270012,"about_ca_topic_score_gemma":0.0001613417,"domain_scores_codex":[0.99939,0.00002712558,0.0001046288,0.0002446356,0.00009225724,0.0001413371],"domain_scores_gemma":[0.999817,0.00004026419,0.00004027252,0.00002169178,0.0000502919,0.0000304586],"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":[0.00006279237,0.00006387819,0.005326385,0.000001365795,0.000001341167,2.271127e-8,0.00006116833,0.00003323639,0.9741716,0.0001164723,0.0002230026,0.01993876],"study_design_scores_gemma":[0.000186699,0.0008655358,0.692843,0.00001645631,0.00001615671,0.000009566859,0.0008833008,0.002959843,0.2966425,0.00005277226,0.005321365,0.0002029338],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981513,0.000322739,0.0005964205,0.0004198141,0.0001440137,0.0002468221,0.000004418852,0.00008634161,0.00002810347],"genre_scores_gemma":[0.9977823,0.000001482503,0.0007083453,0.00001437603,0.001012209,0.00004274464,0.00001172313,6.229916e-7,0.0004261651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6875166,"threshold_uncertainty_score":0.184157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09445051221892324,"score_gpt":0.3262501626290732,"score_spread":0.23179965041015,"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."}}