{"id":"W259835420","doi":"10.1016/j.livprodsci.2003.09.017","title":"Random regression analyses of feed intake of individually tested beef steers","year":2003,"lang":"en","type":"article","venue":"Livestock Production Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Heritability; Animal science; Breed; Beef cattle; Random effects model; Mathematics; Residual feed intake; Herd; Genetic correlation; Animal model; Linear regression; Regression analysis; Statistics; Biology; Body weight; Feed conversion ratio; Medicine; Genetic variation; Internal medicine; Endocrinology","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":[0.00169933,0.0006041368,0.0006786369,0.0006108004,0.0002649467,0.0002883957,0.0004600969,0.0002794685,0.001998449],"category_scores_gemma":[0.004444124,0.0002165821,0.0006846736,0.0005144925,0.0002255662,0.0001931793,0.0003088044,0.000595017,0.0003866627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345981,"about_ca_system_score_gemma":0.0002585496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00746337,"about_ca_topic_score_gemma":0.01089113,"domain_scores_codex":[0.9983119,0.0008335056,0.00006214539,0.0004313377,0.0002156765,0.0001455072],"domain_scores_gemma":[0.996012,0.002824672,0.0004054476,0.000295097,0.0003133661,0.000149482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01273022,0.0008146644,0.776677,0.0002142456,0.003968962,0.0003778056,0.0007568838,0.008206737,0.11471,0.0005608592,0.001117481,0.07986514],"study_design_scores_gemma":[0.0000212976,0.001176866,0.9824985,0.000008188513,0.0002791544,0.000268092,0.0001301527,0.008578955,0.006472797,0.0001321762,0.0004136479,0.00002012505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954975,0.0001298135,0.003468309,0.000008287061,0.000007247761,0.000009925977,0.0005223175,0.00004816891,0.0003085576],"genre_scores_gemma":[0.9953329,0.0000452014,0.002006315,0.00001297822,0.00000384335,0.00002639206,0.0009386259,0.00005593095,0.001577832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00746337,"threshold_uncertainty_score":0.01483983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03422785762622792,"score_gpt":0.3096153619777947,"score_spread":0.2753875043515667,"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."}}