{"id":"W2959670367","doi":"10.3168/jds.2019-16451","title":"Genome-wide association for milk production traits and somatic cell score in different lactation stages of Ayrshire, Holstein, and Jersey dairy cattle","year":2019,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada First Research Excellence Fund; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Dairy Commission; Dairy Farmers of Canada","keywords":"Biology; Breed; Lactation; Single-nucleotide polymorphism; Genetics; Quantitative trait locus; Candidate gene; Dairy cattle; Somatic cell count; Genome-wide association study; Population; Trait; Holstein Cattle; Animal science; Gene; Ice calving; Genotype; Pregnancy; Medicine","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":[0.0005932895,0.0002224556,0.0003681458,0.0007666046,0.0003749582,0.0004210432,0.0002565814,0.0002474402,0.001177636],"category_scores_gemma":[0.0005194534,0.0001362802,0.0005507452,0.0007071377,0.000306373,0.00009976835,0.0002677719,0.0002457961,0.00009198775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005268024,"about_ca_system_score_gemma":0.0003728742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08878402,"about_ca_topic_score_gemma":0.1745549,"domain_scores_codex":[0.999613,0.00006783957,0.00002896595,0.0001542333,0.00006161537,0.00007438686],"domain_scores_gemma":[0.9994641,0.000168927,0.0001338922,0.0000348817,0.00007604231,0.0001222205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000674291,0.00003378828,0.9794129,0.00002547151,0.0004995722,0.0003495019,0.0004514877,0.0001207223,0.01505697,0.00004140992,0.0001316765,0.003202124],"study_design_scores_gemma":[0.000004283428,0.00001295066,0.9996881,0.000001252655,0.00003653822,0.00003871284,0.00004822709,0.00007937446,0.00003971803,0.000002482265,0.00004680441,0.00000143033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999619,0.0001112281,0.00004340351,0.000007846161,0.000001407046,0.000001100142,0.0001133906,0.000001930706,0.0001006059],"genre_scores_gemma":[0.9990286,0.00006623988,0.0001984037,0.00001592066,0.000003631133,0.000004671373,0.0004459887,0.000003151703,0.0002334064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08878402,"threshold_uncertainty_score":0.1765345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110179651395755,"score_gpt":0.2331184734512458,"score_spread":0.2220166769372882,"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."}}