{"id":"W4205225302","doi":"10.3168/jds.2021-20558","title":"Single-step genomic evaluation of milk production traits in Canadian Alpine and Saanen dairy goats","year":2022,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Agri-Food Innovation Alliance; Trent University; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Georgia","keywords":"Best linear unbiased prediction; Breed; Context (archaeology); Trait; Biology; Genomic selection; Animal science; Milk production; Livestock; Cross-validation; Dairy cattle; Statistics; Selection (genetic algorithm); Mathematics; Ecology; Genetics; Single-nucleotide polymorphism; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001475034,0.0004157361,0.00037403,0.001125392,0.0006506001,0.0007227223,0.0006813343,0.000380781,0.0006206805],"category_scores_gemma":[0.003172948,0.0001770508,0.0004863968,0.0008161472,0.0004703956,0.0002090511,0.0003815242,0.0002637574,0.0001492189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002398939,"about_ca_system_score_gemma":0.002145699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5480587,"about_ca_topic_score_gemma":0.7681754,"domain_scores_codex":[0.9993353,0.0001251304,0.0000193532,0.000218904,0.0002053689,0.00009595859],"domain_scores_gemma":[0.998516,0.0005733026,0.000201688,0.0001207566,0.0004790303,0.0001093299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004868831,0.00004843948,0.89425,0.00009705361,0.0006392004,0.0003490791,0.001001301,0.0192616,0.02865453,0.000375283,0.0004342756,0.0544023],"study_design_scores_gemma":[0.000007320017,0.00004809476,0.9798934,0.0000145206,0.00009425473,0.0001404495,0.0002759948,0.01596443,0.002788806,0.0000880155,0.0006600024,0.00002467687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956537,0.0001694169,0.002812946,0.00002708239,0.000001982998,0.000009821875,0.0006829808,0.00004092835,0.000601106],"genre_scores_gemma":[0.9915775,0.0001381959,0.005900629,0.00002259141,0.000002655327,0.00001438836,0.001726587,0.00001935499,0.0005981374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5480587,"threshold_uncertainty_score":0.9092058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295631773313203,"score_gpt":0.2598973390843877,"score_spread":0.2369410213512556,"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."}}