{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002014684,0.000141649,0.0003939305,0.00007957102,0.0001304504,0.00004980636,0.0008907009,0.00007269739,0.000316559],"category_scores_gemma":[0.0002706116,0.00005985585,0.0001264796,0.001151556,0.0002941104,0.0006525305,0.0001885894,0.0002611288,0.00001299448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004991802,"about_ca_system_score_gemma":0.00009625645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005488839,"about_ca_topic_score_gemma":0.001305363,"domain_scores_codex":[0.9979542,0.0001203846,0.0006882004,0.0002494252,0.00061693,0.0003707909],"domain_scores_gemma":[0.9988507,0.0001675835,0.000528983,0.0001205704,0.0002125603,0.0001196096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002178175,0.0003604875,0.4197695,0.00006930403,0.000005551331,0.00006217122,0.0004207186,0.00003032891,0.5739084,0.0005416537,0.001267033,0.003347031],"study_design_scores_gemma":[0.0005982266,0.000458362,0.9861744,0.0003641598,0.000005808403,0.00007362035,0.0003233867,0.00005840171,0.005894767,0.0005806078,0.005271666,0.0001965699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966486,0.0002675724,0.00001154034,0.0007408942,0.0005945669,0.000144643,0.0001417504,0.00000865339,0.001441826],"genre_scores_gemma":[0.9985453,0.00008539271,0.0006139699,0.0001623447,0.000166954,8.429923e-7,0.000005860812,0.00000106488,0.000418277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5680136,"threshold_uncertainty_score":0.3466099,"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."}}