{"id":"W2909466667","doi":"10.3168/jds.2018-15135","title":"Antimicrobial resistance profiles of 5 common bovine mastitis pathogens in large Chinese dairy herds","year":2019,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Enrofloxacin; Tetracycline; Mastitis; Microbiology; Penicillin; Clindamycin; Amoxicillin; Antibiotic resistance; Staphylococcus aureus; Biology; Broth microdilution; Streptococcus agalactiae; Klebsiella; Multiple drug resistance; Antimicrobial; Veterinary medicine; Antibiotics; Streptococcus; Medicine; Minimum inhibitory concentration; Bacteria; Escherichia coli; Ciprofloxacin","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":[0.0006623214,0.0003310034,0.0004383839,0.001389744,0.0004854241,0.0004121987,0.0002921562,0.0003422867,0.0005753135],"category_scores_gemma":[0.0009552103,0.0002213225,0.0003481849,0.00115133,0.0004173689,0.0002831808,0.0003338566,0.0001676842,0.0000637283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007994323,"about_ca_system_score_gemma":0.0004696795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01489119,"about_ca_topic_score_gemma":0.01814218,"domain_scores_codex":[0.9993926,0.00009230131,0.00009115049,0.0001722207,0.0001462058,0.0001055285],"domain_scores_gemma":[0.9992304,0.0001354294,0.0003317099,0.00004416341,0.0001172191,0.0001410364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009075728,0.0000264372,0.9923303,0.00002149393,0.00003106205,0.0002350569,0.0004236718,0.00004519558,0.004139925,0.000009679547,0.00003463399,0.002611908],"study_design_scores_gemma":[0.000002443704,0.00007554197,0.9992294,0.000003336143,0.00001350869,0.0001971843,0.0001762928,0.00007909855,0.0001509007,0.000005615127,0.00006421076,0.000002434535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999719,0.0001246568,0.00002134053,0.000009200601,8.126935e-7,0.00000346253,0.00005227594,9.73605e-7,0.0000683216],"genre_scores_gemma":[0.9995419,0.0001121302,0.00008963175,0.00001960302,0.000003094769,0.000007203725,0.0001557863,5.573659e-7,0.00007006645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01489119,"threshold_uncertainty_score":0.02960902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304670738659125,"score_gpt":0.2496048957495043,"score_spread":0.2365581883629131,"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."}}