{"id":"W2045649073","doi":"10.1073/pnas.1116828109","title":"Evolutionary optimum for male sexual traits characterized using the multivariate Robertson–Price Identity","year":2012,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Biology; Selection (genetic algorithm); Pleiotropy; Trait; Natural selection; Evolutionary biology; Directional selection; Quantitative genetics; Covariance; Population; Sexual selection; Stabilizing selection; Genetics; Disruptive selection; Genetic variation; Phenotype; Statistics; Gene; Mathematics; Machine learning; Computer science","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":[0.001582853,0.0004551219,0.0006018827,0.001754444,0.0005078469,0.0005259793,0.0003990082,0.0004655065,0.002803128],"category_scores_gemma":[0.001732132,0.0001956782,0.0008883986,0.001047976,0.0008154627,0.0003503519,0.0006270733,0.0006313415,0.0002528929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004027956,"about_ca_system_score_gemma":0.0003429307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008254605,"about_ca_topic_score_gemma":0.002413047,"domain_scores_codex":[0.9988417,0.0003954219,0.00007031964,0.0004491811,0.0001840058,0.00005933096],"domain_scores_gemma":[0.9983947,0.0005615398,0.0005802949,0.0002490433,0.0001074925,0.0001069608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007279224,0.0000974492,0.3663742,0.0002689402,0.001595314,0.0009643902,0.0004638121,0.004835483,0.5576023,0.008832525,0.0003705883,0.05786692],"study_design_scores_gemma":[0.00005003316,0.0003255541,0.9692312,0.00002054085,0.0004848643,0.001756255,0.0001720214,0.006789542,0.01460167,0.004396574,0.002103374,0.00006822736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836678,0.0005677901,0.01288445,0.00008173094,0.000008858599,0.00002510248,0.000305808,0.00007427973,0.002384013],"genre_scores_gemma":[0.9944917,0.0001763958,0.004587245,0.00003462776,0.000009804407,0.00001929203,0.0002348556,0.00003343,0.0004125157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002803128,"threshold_uncertainty_score":0.00937736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264208150122795,"score_gpt":0.3047574361651965,"score_spread":0.178336621152917,"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."}}