{"id":"W3138391050","doi":"10.1093/jas/skab087","title":"Genetic parameter estimations and genomic insights for teat and udder structure in young and mature Canadian Angus cows","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":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"Agriculture and Agri-Food Canada; Alberta Livestock and Meat Agency","keywords":"Udder; Culling; Heritability; Genetic correlation; Biology; Animal science; Trait; Genome-wide association study; Veterinary medicine; Genetic variation; Mastitis; Genetics; Single-nucleotide polymorphism; Medicine; Genotype; Gene; Herd","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":[0.001332207,0.0003994095,0.0003451061,0.001509249,0.0007616611,0.0008585316,0.0005294512,0.0002510597,0.001218135],"category_scores_gemma":[0.003428413,0.0002436623,0.0006654635,0.002029733,0.0005604968,0.0001837259,0.000350945,0.0004055284,0.0001014747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003967111,"about_ca_system_score_gemma":0.00379464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8326845,"about_ca_topic_score_gemma":0.8688759,"domain_scores_codex":[0.9994022,0.0001208342,0.00002433035,0.000213659,0.0001447521,0.00009426517],"domain_scores_gemma":[0.9985659,0.0006215762,0.0002822931,0.0001226569,0.0002910178,0.0001167021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004259913,0.00004378856,0.9289332,0.00003799383,0.0004318655,0.0003168894,0.001730024,0.0162115,0.0102715,0.001301738,0.000395508,0.03989987],"study_design_scores_gemma":[0.00000637379,0.00002265077,0.9870891,0.00001091087,0.0000694896,0.00005480413,0.0002641363,0.01149699,0.0001963156,0.0002019741,0.000562763,0.00002436111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968274,0.0001485914,0.001924934,0.00002597668,0.000001543391,0.00000904619,0.0005701834,0.00001723867,0.0004750343],"genre_scores_gemma":[0.9943164,0.0001507716,0.003972471,0.00001605999,0.000002784162,0.000009945396,0.00100911,0.00001392564,0.000508615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1673155,"threshold_uncertainty_score":0.3366016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007258499047676871,"score_gpt":0.236820511822117,"score_spread":0.2295620127744401,"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."}}