{"id":"W2097302893","doi":"10.1016/s0301-6226(03)00143-x","title":"Herd of origin effect on weight gain of station-tested beef bulls","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":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Herd; Sire; Bivariate analysis; Animal science; Random effects model; Mathematics; Statistics; Beef cattle; Fixed effects model; Rank correlation; Breed; Weight gain; Univariate; Biology; Veterinary medicine; Body weight; Multivariate statistics; Medicine; Internal medicine; Meta-analysis; Panel data","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006104343,0.0001306322,0.0001502669,0.000100569,0.0000977846,0.000008407403,0.0002382012,0.000060051,0.00002500911],"category_scores_gemma":[0.0006994403,0.0001138605,0.00004617309,0.0004536416,0.0005473695,0.000009901829,0.00002903659,0.00006918575,0.000008685102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001272061,"about_ca_system_score_gemma":0.0002067342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009274743,"about_ca_topic_score_gemma":0.00000155021,"domain_scores_codex":[0.9986199,0.0001173838,0.0002571519,0.0004820838,0.0003234002,0.0002000984],"domain_scores_gemma":[0.9990176,0.00003244619,0.0001827479,0.0004704884,0.000225005,0.00007172829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008099191,0.0001515333,0.006307958,0.00004298257,0.00001523716,9.619713e-8,0.000249496,0.003563699,0.9754217,0.01179601,0.0004282078,0.001942117],"study_design_scores_gemma":[0.0002645978,0.001945409,0.04557728,0.00002585335,0.00001058053,0.000009453637,0.00006247126,0.000004529322,0.9491283,0.001016502,0.001826889,0.0001281209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993422,0.0001526314,0.003470943,0.00004796655,0.0005814728,0.0003449045,0.000007305546,0.000008470839,0.001964324],"genre_scores_gemma":[0.9830501,0.000009469652,0.0158312,0.00002504213,0.00009181393,0.00001660344,0.000006799428,0.000009550832,0.0009594362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03926932,"threshold_uncertainty_score":0.4643095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229421800241917,"score_gpt":0.269656238159086,"score_spread":0.2573620201566668,"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."}}