{"id":"W2101083155","doi":"10.1016/j.prevetmed.2006.06.006","title":"Test characteristics from latent-class models of the California Mastitis Test","year":2006,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Health PEI; University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada; Pfizer","keywords":"Mastitis; Milking; Herd; California mastitis test; Predictive value; Veterinary medicine; Bacteriology; Latent class model; Dairy cattle; Animal science; Medicine; Biology; Ice calving; Internal medicine; Mathematics; Lactation; Statistics; Microbiology; Pregnancy","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":[0.05644712,0.001776041,0.001831103,0.00249262,0.0008072559,0.003668936,0.003250115,0.002177083,0.007978497],"category_scores_gemma":[0.1307347,0.0008103676,0.003198257,0.002027818,0.002435222,0.002854045,0.001878037,0.003463937,0.001426401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668408,"about_ca_system_score_gemma":0.002024991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0110147,"about_ca_topic_score_gemma":0.004864771,"domain_scores_codex":[0.9798421,0.01354565,0.0006699821,0.002839286,0.001836947,0.00126615],"domain_scores_gemma":[0.7489662,0.2195628,0.01544501,0.008809345,0.004710487,0.002506156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006042273,0.00070411,0.7220911,0.0003088246,0.001982138,0.0005013237,0.00119777,0.1969173,0.0007378003,0.01307082,0.00369021,0.05275609],"study_design_scores_gemma":[0.0003310013,0.001124439,0.1144545,0.00008915812,0.0004215154,0.0003460337,0.0002551693,0.8667369,0.0003167964,0.01445569,0.001345668,0.0001232102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8259037,0.001167731,0.1614685,0.001398584,0.0001445241,0.0008229654,0.00412105,0.000890767,0.004082124],"genre_scores_gemma":[0.9875346,0.0001353639,0.008198344,0.00007535973,0.00006929994,0.0003549614,0.002232431,0.00006559078,0.001334063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05644712,"threshold_uncertainty_score":0.2985244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03565996426682273,"score_gpt":0.2341946933447097,"score_spread":0.198534729077887,"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."}}