{"id":"W1986643084","doi":"10.3168/jds.s0022-0302(01)74736-4","title":"Genetic Evaluation of Dairy Cattle Using Test-Day Models","year":2001,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Guelph","keywords":"Statistics; Multivariate statistics; Bayesian probability; Covariance; Computer science; Mathematics; Econometrics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005927975,0.0005399609,0.0009977239,0.001068018,0.0002978721,0.001244267,0.00169043,0.0007951939,0.001322579],"category_scores_gemma":[0.01557732,0.0003724844,0.001028246,0.001041979,0.0004583973,0.001005618,0.0007931159,0.000680818,0.0002046604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315967,"about_ca_system_score_gemma":0.0007809172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0125332,"about_ca_topic_score_gemma":0.009766005,"domain_scores_codex":[0.9975274,0.001855003,0.00006976252,0.0001998435,0.0002255405,0.0001223684],"domain_scores_gemma":[0.9888948,0.008737266,0.0007213196,0.0004817165,0.0008692294,0.0002956004],"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":[0.0002395174,0.00005755625,0.01642792,0.00004163395,0.0001960549,0.00005963134,0.000070353,0.9551072,0.0007602416,0.003646064,0.0002384649,0.02315542],"study_design_scores_gemma":[0.00000564145,0.0000521298,0.00231863,0.00000641009,0.00001699027,0.00001380497,0.00001489096,0.9952883,0.0002698045,0.001825468,0.000177201,0.00001081275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4604035,0.000486955,0.5356231,0.000263918,0.00003026587,0.00006084912,0.0005284974,0.0004505899,0.002152419],"genre_scores_gemma":[0.9167008,0.0002540806,0.07996748,0.00006370057,0.00002023544,0.00008246888,0.001090293,0.00009474139,0.001726128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0125332,"threshold_uncertainty_score":0.03135055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04627053072818778,"score_gpt":0.3067565979993077,"score_spread":0.2604860672711199,"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."}}