{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006338798,0.001640033,0.001648183,0.001777141,0.001119562,0.001720557,0.004881596,0.001163848,0.004156301],"category_scores_gemma":[0.008473994,0.001047529,0.00305838,0.002155632,0.001415529,0.0007801987,0.001011505,0.001318635,0.0006943948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01222966,"about_ca_system_score_gemma":0.01013242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9169061,"about_ca_topic_score_gemma":0.8880991,"domain_scores_codex":[0.9970316,0.0008784979,0.0001145215,0.000971325,0.0003175711,0.000686384],"domain_scores_gemma":[0.9952617,0.002691239,0.0005262202,0.0003533841,0.0009428884,0.0002246495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001299819,0.0001745771,0.09332145,0.0002044111,0.001538084,0.000789747,0.001025116,0.8112177,0.003527621,0.02780485,0.004127756,0.05496886],"study_design_scores_gemma":[0.0001544122,0.0001578152,0.08779744,0.0000546439,0.000586975,0.0001239541,0.0002315637,0.9009327,0.0005250029,0.005665477,0.003589321,0.0001806393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282393,0.001070459,0.06124332,0.0005988489,0.00005457586,0.0001499398,0.004345382,0.0007688781,0.003529388],"genre_scores_gemma":[0.9598324,0.0005281666,0.01811188,0.00009540964,0.00002247513,0.0001793415,0.004444704,0.0002075804,0.01657813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08309388,"threshold_uncertainty_score":0.1671664,"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."}}