{"id":"W2961094452","doi":"10.1186/s12863-019-0761-9","title":"Genome-wide association analysis for β-hydroxybutyrate concentration in Milk in Holstein dairy cattle","year":2019,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Milk; Ontario Ministry of Research, Innovation and Science; Ontario Ministry of Agriculture, Food and Rural Affairs; Agricultural Research Service; Genome Canada; Ontario Genomics; Aarhus Universitet","keywords":"Ketosis; Dairy cattle; Lactation; Genome-wide association study; Animal science; Holstein Cattle; Single-nucleotide polymorphism; Biology; Endocrinology; Pregnancy; Genetics; Genotype; Gene; Diabetes mellitus","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006409804,0.0002611111,0.0002997035,0.0008812988,0.0004160883,0.0005247156,0.0003479565,0.0003942271,0.001718084],"category_scores_gemma":[0.0006054825,0.0001575919,0.0006210364,0.0009587594,0.0002423858,0.0001260401,0.0002517819,0.0004380226,0.0001097679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002952373,"about_ca_system_score_gemma":0.0002297712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007944843,"about_ca_topic_score_gemma":0.01114602,"domain_scores_codex":[0.9996603,0.00007591955,0.0000232575,0.0001359171,0.00005017918,0.0000545274],"domain_scores_gemma":[0.9992056,0.0003423317,0.0002192397,0.00004501109,0.00006385273,0.0001239508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009504945,0.00005492954,0.985878,0.00002449723,0.0005317344,0.0002387619,0.0001044856,0.0001166713,0.009832572,0.00002864475,0.000115809,0.002123425],"study_design_scores_gemma":[0.00001003541,0.00004142315,0.9992635,0.00000309776,0.0001124881,0.00008716078,0.0000402638,0.000227004,0.0001339753,0.000009909476,0.00006984996,0.000001406645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999216,0.0002496209,0.0001522311,0.00002656683,0.000004165357,0.000001834766,0.0002277007,0.000005806772,0.0001160264],"genre_scores_gemma":[0.9990514,0.00007374294,0.000301482,0.00001971974,0.000005307284,0.000005049995,0.0003392153,0.000003700166,0.0002003412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007944843,"threshold_uncertainty_score":0.0157972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333892520172157,"score_gpt":0.2383429959366581,"score_spread":0.2150040707349365,"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."}}