{"id":"W4306403431","doi":"10.3390/dairy3040050","title":"Mastitis: What It Is, Current Diagnostics, and the Potential of Metabolomics to Identify New Predictive Biomarkers","year":2022,"lang":"en","type":"article","venue":"Dairy","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Milk","keywords":"Mastitis; Dairy industry; Disease; Dairy cattle; Biotechnology; Medicine; Productivity; Identification (biology); Profitability index; Metabolomics; Intensive care medicine; Biology; Bioinformatics; Pathology; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004762892,0.000107229,0.0001855308,0.00001451236,0.0002853892,0.00008339726,0.0003426873,0.00003052037,0.001010762],"category_scores_gemma":[0.000167262,0.00004350416,0.0000922524,0.0002211979,0.0001588419,0.0001615371,0.0005624062,0.0001437232,0.000009468686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001603127,"about_ca_system_score_gemma":0.00001799463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004370698,"about_ca_topic_score_gemma":0.0001762132,"domain_scores_codex":[0.9988083,0.0002076949,0.0002440313,0.0002555856,0.0003051739,0.0001791681],"domain_scores_gemma":[0.9993615,0.0003157315,0.00009763327,0.0000814792,0.00003827785,0.0001053774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008924416,0.0002074704,0.001265634,0.00003230093,0.0001819605,0.00001163456,0.003217397,0.0001566608,0.004581299,0.004491322,0.5058333,0.4791285],"study_design_scores_gemma":[0.001523804,0.0005098206,0.09374,0.0001009531,0.0002069196,0.00002736204,0.01610093,0.0003323859,0.0007764843,0.01330059,0.8729773,0.000403429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211705,0.02753864,0.0005577982,0.04329363,0.004270076,0.001076421,0.001666125,0.0000615323,0.0003652414],"genre_scores_gemma":[0.9854318,0.01045252,0.00009758886,0.003087334,0.0004190052,0.00006710298,0.0001470918,0.0000017175,0.000295833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4787251,"threshold_uncertainty_score":0.9999024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324794954835287,"score_gpt":0.2685420869166205,"score_spread":0.2452941373682676,"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."}}