{"id":"W3170051539","doi":"","title":"Comparing diagnostic tests for antimicrobial resistance profiling of bovine mastitis pathogens on Canadian dairy farms.","year":2009,"lang":"en","type":"article","venue":"Annual Meeting - National Mastitis Council, Inc.","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mastitis; Antibiotic resistance; Antimicrobial; Profiling (computer programming); Dairy industry; Dairy cattle; California mastitis test; Microbiology; Biotechnology; Biology; Food science; Antibiotics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003278114,0.00061445,0.0004519584,0.002271253,0.001105608,0.001177209,0.001243671,0.0006648669,0.001295088],"category_scores_gemma":[0.00932278,0.0003933597,0.0004992221,0.002763533,0.0006866608,0.0003504289,0.0006781316,0.0006399655,0.0003834778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01074183,"about_ca_system_score_gemma":0.006622927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8611345,"about_ca_topic_score_gemma":0.9325541,"domain_scores_codex":[0.9951311,0.0004683173,0.0002238976,0.0005927989,0.002762588,0.0008213339],"domain_scores_gemma":[0.9932194,0.001433003,0.0006880754,0.0001980742,0.003853734,0.0006077107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001299199,0.0002223375,0.9176606,0.0002698762,0.0002718886,0.0002343471,0.001240312,0.0005756928,0.02546804,0.0002259024,0.003052051,0.04947966],"study_design_scores_gemma":[0.00001621189,0.0002562099,0.9932193,0.00002764092,0.00007970008,0.0001344551,0.0006938927,0.0008429434,0.002474056,0.00002477737,0.002218338,0.00001241678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874588,0.002123,0.001423261,0.0004194532,0.00006493073,0.0001547322,0.003348978,0.00006471676,0.004941983],"genre_scores_gemma":[0.991125,0.0008234816,0.002958612,0.0001927727,0.00001351901,0.0000474906,0.003158215,0.00001451947,0.001666451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1388655,"threshold_uncertainty_score":0.2793666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0551206851157241,"score_gpt":0.2538723399145398,"score_spread":0.1987516547988157,"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."}}