{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005138309,0.00007731816,0.00005594371,0.00003470572,0.00004296764,0.000008006233,0.00004792763,0.00009851052,0.00001832911],"category_scores_gemma":[0.00001597493,0.00008266015,0.00001590218,0.00006610558,0.00003088712,0.000003259239,0.00001779607,0.00005737482,0.00001664081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002457856,"about_ca_system_score_gemma":0.00003002185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002437226,"about_ca_topic_score_gemma":0.0002064562,"domain_scores_codex":[0.9994423,0.00003255031,0.0001114854,0.0002166313,0.000053724,0.0001432846],"domain_scores_gemma":[0.9998202,0.000003161138,0.00002651351,0.0000963553,0.0000176342,0.00003617241],"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":[0.0002065477,0.0002564182,0.2218698,0.0000395051,0.00004300776,7.907215e-7,0.0002809453,0.02559316,0.6529236,0.009058002,0.003845438,0.08588278],"study_design_scores_gemma":[0.000375728,0.0001626142,0.979274,0.000005987732,0.000005432479,0.00002396779,0.00001231436,0.0008952092,0.007042993,0.001036883,0.01104174,0.0001231185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578356,0.001170124,0.0394594,0.0001126436,0.00007606411,0.0001011531,0.000002349736,0.00001019245,0.001232475],"genre_scores_gemma":[0.9758809,0.00004746838,0.02318528,0.00006106835,0.0003650007,0.00001231708,0.000009951013,0.000008462297,0.0004296204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7574042,"threshold_uncertainty_score":0.3370783,"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."}}