{"id":"W1499792105","doi":"","title":"Simultaneous and recursive random regression models for milk yield and somatic cell score in Canadian Holsteins","year":2009,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Lactation; Regression; Trait; Statistics; Regression analysis; Yield (engineering); Mathematics; Random effects model; Linear regression; Biology; Stepwise regression; Animal science; Internal medicine; Medicine; Genetics; Computer science; Pregnancy","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007851425,0.0003611597,0.0003022705,0.0002064013,0.0001491188,0.00009852052,0.0003679356,0.0003017215,0.0006083176],"category_scores_gemma":[0.0004950298,0.0003581428,0.0000851686,0.00007957694,0.00006216802,0.000007475729,0.00009243753,0.0001853687,0.00004468472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009837044,"about_ca_system_score_gemma":0.0001900344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004565021,"about_ca_topic_score_gemma":0.006578757,"domain_scores_codex":[0.9977083,0.0001306473,0.0005566159,0.0007510218,0.0004011527,0.0004523173],"domain_scores_gemma":[0.9983769,0.0002341481,0.0002202786,0.0003188745,0.0005691922,0.0002806037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01888009,0.00290474,0.005670263,0.001433187,0.0009011228,0.00007926889,0.01371363,0.3643274,0.1019158,0.01672354,0.3448255,0.1286255],"study_design_scores_gemma":[0.03186502,0.004319638,0.01575582,0.002485467,0.0005015971,0.0003383168,0.003484191,0.1206956,0.01550293,0.03481889,0.7670308,0.003201628],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9107521,0.005032697,0.01157506,0.05656655,0.0005854687,0.003389341,0.000216177,0.00004423981,0.01183835],"genre_scores_gemma":[0.9801276,0.000239024,0.01114103,0.006183342,0.0002524981,0.0001645334,0.0004050868,0.00003862754,0.001448217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4222053,"threshold_uncertainty_score":0.999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030095111561509,"score_gpt":0.2678464653617276,"score_spread":0.2475455142461125,"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."}}