{"id":"W2998471909","doi":"10.3168/jds.2019-16850","title":"Estimation of genetic parameters for mid-infrared–predicted lactoferrin and milk fat globule size in Holstein 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":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Dairy Commission; University of Guelph","funders":"","keywords":"Heritability; Ice calving; Dairy cattle; Animal science; Genetic correlation; Random effects model; Biology; Mathematics; Herd; Linear regression; Statistics; Genetic variation; Lactation; Medicine; Internal medicine; 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":[0.002103977,0.0004476187,0.0003115242,0.001058623,0.0003556332,0.0006110406,0.0006950406,0.0003339887,0.0006126439],"category_scores_gemma":[0.003373826,0.0002371244,0.0004375068,0.0007041143,0.0005537621,0.0002107775,0.0002494027,0.0003953601,0.0001091545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751765,"about_ca_system_score_gemma":0.0008628992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1359428,"about_ca_topic_score_gemma":0.1572094,"domain_scores_codex":[0.999104,0.0002721256,0.00003602826,0.0003114112,0.000170764,0.0001057067],"domain_scores_gemma":[0.9980215,0.001157897,0.0003204648,0.0001878908,0.000196125,0.0001161281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004194212,0.0000670747,0.9650232,0.00001997094,0.0005712354,0.0001664007,0.0003775144,0.008320142,0.01068015,0.0003068253,0.0001134389,0.01393457],"study_design_scores_gemma":[0.000006465472,0.00002937797,0.9892476,0.000005234132,0.00004827869,0.00004721612,0.00006431105,0.01009276,0.0002975628,0.00006818569,0.00008324398,0.000009824401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981807,0.00006344888,0.001459004,0.000007840934,0.00000104904,0.000004091541,0.0001448732,0.00001286457,0.0001259655],"genre_scores_gemma":[0.9983478,0.00002580182,0.001125218,0.000005218903,0.000001782422,0.000005164864,0.0003695863,0.000007779369,0.000111798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1359428,"threshold_uncertainty_score":0.270303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000071899955942,"score_gpt":0.2503168342550582,"score_spread":0.2403161152554988,"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."}}