{"id":"W2897975413","doi":"10.3168/jds.2018-15126","title":"Genetic analysis of subclinical mastitis in early lactation of heifers using both linear and threshold models","year":2018,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Dairy Commission; Alberta Bone and Joint Health Institute; University of Guelph; University of Calgary","funders":"","keywords":"Heritability; Culling; Lactation; Herd; Animal science; Mastitis; Biology; Somatic cell count; Veterinary medicine; Medicine; Ice calving; Pregnancy; Genetics","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":[0.003047874,0.0006461851,0.0004426978,0.001067867,0.0004971137,0.0008896336,0.0007166096,0.000308456,0.0009654725],"category_scores_gemma":[0.003774377,0.0003098022,0.0009680613,0.001283082,0.0006244986,0.0002711251,0.0004896795,0.0004146755,0.0001111474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042599,"about_ca_system_score_gemma":0.002147119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1657059,"about_ca_topic_score_gemma":0.2100821,"domain_scores_codex":[0.99845,0.0006392623,0.00006825865,0.0004079678,0.0002405329,0.0001939561],"domain_scores_gemma":[0.9975885,0.001643278,0.0002949952,0.0001464536,0.0001906664,0.0001360943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001096928,0.0001931733,0.8446751,0.00006989871,0.001585395,0.0003950353,0.0005484449,0.1130286,0.01053442,0.001550654,0.0002362558,0.026086],"study_design_scores_gemma":[0.00006316279,0.0003375721,0.6440981,0.00002521646,0.0004529352,0.000171692,0.0002369327,0.3524462,0.0006048268,0.001204254,0.0003124426,0.00004661936],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940136,0.00007268239,0.00550485,0.00001923621,0.000001418852,0.000009936869,0.0001285373,0.00002336157,0.0002263377],"genre_scores_gemma":[0.9961352,0.00006805442,0.003111965,0.000007718503,0.000002188883,0.000011848,0.0003593375,0.000009507865,0.0002942308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1657059,"threshold_uncertainty_score":0.3294827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07583610972647455,"score_gpt":0.3128221482898013,"score_spread":0.2369860385633268,"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."}}