{"id":"W2179188220","doi":"10.1111/j.0014-3820.2005.tb01786.x","title":"SELECTION AND GENETIC (CO)VARIANCE IN BIGHORN SHEEP","year":2005,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Alberta","funders":"Natural Environment Research Council; Alberta Parks; U.S. Forest Service; Alberta Conservation Association; University of Alberta; Foundation for North American Wild Sheep","keywords":"Biology; Heritability; Trait; Genetic correlation; Selection (genetic algorithm); Genetic variation; Population; Evolutionary biology; Genetics; Demography; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004650597,0.0001519317,0.0002403961,0.0006221469,0.0002672776,0.000508205,0.0002221811,0.0002246399,0.0003542865],"category_scores_gemma":[0.0009379663,0.0001077577,0.0001074895,0.0005967242,0.0006135324,0.0001288332,0.0002442419,0.0001376511,0.00008092943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974403,"about_ca_system_score_gemma":0.0002873692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660203,"about_ca_topic_score_gemma":0.04484019,"domain_scores_codex":[0.9996349,0.000127853,0.00001630371,0.00007746134,0.000104161,0.00003936083],"domain_scores_gemma":[0.9996029,0.0001383411,0.00009887364,0.00003765859,0.00006022942,0.00006208615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004933569,0.00006721957,0.8420168,0.00004832063,0.0003793289,0.001638764,0.0008931857,0.002694625,0.1238144,0.002103127,0.0003248522,0.02552605],"study_design_scores_gemma":[0.000007586697,0.00002866258,0.9959568,0.000004493323,0.00002862294,0.0002699796,0.0001302985,0.002052804,0.000657374,0.0006140696,0.0002411113,0.000008131113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988595,0.0002313222,0.0003847706,0.00003403192,0.000003301258,0.000001411007,0.00002163116,0.000009081218,0.0004548883],"genre_scores_gemma":[0.9995272,0.00006895536,0.000154088,0.00001297833,0.000004715489,0.000001410867,0.00003291768,0.000003898689,0.0001939207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01660203,"threshold_uncertainty_score":0.03301078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005785133224962736,"score_gpt":0.2269639408054941,"score_spread":0.2211788075805313,"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."}}