{"id":"W3207684571","doi":"10.1093/jas/skab235.046","title":"43 Single and Multiple-breed Genomic Predictions for Conformation Traits of Canadian Dairy Goats","year":2021,"lang":"en","type":"article","venue":"Journal of Animal Science","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":"Breed; Udder; Trait; Best linear unbiased prediction; Biology; Selection (genetic algorithm); Statistics; Animal breeding; Animal science; Veterinary medicine; Mathematics; Medicine","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":[0.001520613,0.0005350367,0.0004468136,0.0006202656,0.0005104839,0.0009354629,0.0006369071,0.0003253977,0.001074616],"category_scores_gemma":[0.002320463,0.0002049526,0.000747103,0.0004928997,0.0003784772,0.0002871389,0.0004994936,0.000293164,0.0002467424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00328994,"about_ca_system_score_gemma":0.002018853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.427679,"about_ca_topic_score_gemma":0.5154539,"domain_scores_codex":[0.9994465,0.0001112395,0.00001892838,0.0002152614,0.0001189864,0.00008906255],"domain_scores_gemma":[0.9990128,0.0004499441,0.0001033314,0.00008971178,0.0002869242,0.00005723841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005318755,0.00008838246,0.7201127,0.00008585476,0.0006857114,0.0002147713,0.0002323424,0.2133097,0.00883132,0.0003682669,0.001042975,0.05449602],"study_design_scores_gemma":[0.00002537131,0.00009631568,0.6295213,0.00003444836,0.0001576601,0.0001093771,0.0002534349,0.3655086,0.002800063,0.0003221758,0.001124933,0.00004625748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945632,0.0001562499,0.003459767,0.00005469264,0.000004416055,0.00001077699,0.001020552,0.0001047499,0.0006256263],"genre_scores_gemma":[0.9950781,0.00005018476,0.002475916,0.00001325249,0.000002662395,0.000008476952,0.001879792,0.00001643598,0.0004752286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5723211,"threshold_uncertainty_score":0.8503792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185310340550894,"score_gpt":0.240841254405876,"score_spread":0.2189881510003671,"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."}}