{"id":"W4307988592","doi":"10.3390/pathogens11111282","title":"Incidence and Treatments of Bovine Mastitis and Other Diseases on 37 Dairy Farms in Wisconsin","year":2022,"lang":"en","type":"article","venue":"Pathogens","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"U.S. Department of Agriculture","keywords":"Mastitis; Metritis; Medicine; Herd; Ceftiofur; Incidence (geometry); Lactation; Diarrhea; Ketosis; Animal science; Veterinary medicine; Dairy cattle; Antibiotics; Ice calving; Internal medicine; Biology; Pregnancy; Ampicillin; Endocrinology; Diabetes mellitus","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006949201,0.000250308,0.0002133478,0.001322617,0.0003800955,0.0005238658,0.000287735,0.0002134322,0.0005470633],"category_scores_gemma":[0.001514266,0.0002884686,0.0002740329,0.00177231,0.0002387836,0.0003822179,0.0004785624,0.0001514907,0.000114479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137566,"about_ca_system_score_gemma":0.0007011005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06000613,"about_ca_topic_score_gemma":0.1153718,"domain_scores_codex":[0.9991394,0.0001658741,0.0001642806,0.0001967449,0.0001764385,0.0001572507],"domain_scores_gemma":[0.9980301,0.0002280938,0.001341985,0.00007183832,0.0001712559,0.0001567016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002510194,0.000006645689,0.9981174,0.000007808478,0.00001613444,0.00002864499,0.00008461941,0.00002820341,0.0002499207,0.000003307254,0.0000492424,0.001382981],"study_design_scores_gemma":[0.000001059675,0.00002912431,0.9993688,0.000005513974,0.000009515951,0.00006749567,0.000187914,0.00005800817,0.00006588977,0.000002399421,0.0002024246,0.000001861445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989108,0.0002055216,0.00004910313,0.00001194993,0.000001133845,0.000005677522,0.000693767,0.000003114897,0.0001189263],"genre_scores_gemma":[0.9976719,0.0003683001,0.0001778756,0.00002021725,0.000004163138,0.00001547685,0.001569508,0.000001444281,0.0001711755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06000613,"threshold_uncertainty_score":0.1193137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443207714264825,"score_gpt":0.2372014444924648,"score_spread":0.2127693673498166,"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."}}