{"id":"W3021141311","doi":"10.1016/j.vetmic.2020.108644","title":"Antimicrobial susceptibility of nine udder pathogens recovered from bovine clinical mastitis milk in Europe 2015–2016: VetPath results","year":2020,"lang":"en","type":"article","venue":"Veterinary Microbiology","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vétoquinol (Canada)","funders":"MSD Life Science Foundation, Public Interest Incorporated Foundation; Elanco Animal Health; Virbac; Zoetis; Huvepharma; Ceva Santé Animale; Novartis; Merial; Bayer","keywords":"Microbiology; Biology; Ampicillin; Penicillin; Streptococcus uberis; Streptococcus agalactiae; Mastitis; Antibiotic resistance; Antimicrobial; Clavulanic acid; Tetracycline; Streptococcus dysgalactiae; Enrofloxacin; Amoxicillin; Antibiotics; Staphylococcus aureus; Streptococcus; Ciprofloxacin; Bacteria","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":[0.001245513,0.000374764,0.0004056469,0.001473878,0.0003726116,0.001042755,0.000286839,0.0005865425,0.0007321931],"category_scores_gemma":[0.00110899,0.0001843253,0.0006243965,0.001093589,0.0003738127,0.0004056736,0.0009207398,0.0002849528,0.0002423391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005147625,"about_ca_system_score_gemma":0.0004015802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003988935,"about_ca_topic_score_gemma":0.005437535,"domain_scores_codex":[0.9985806,0.0001499291,0.0002731395,0.0003774682,0.000393444,0.0002253806],"domain_scores_gemma":[0.9989324,0.0001643307,0.0003297893,0.0000501636,0.000399152,0.0001241194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001149325,0.0002538355,0.8684379,0.000205797,0.0002132291,0.000455585,0.001056955,0.0002787582,0.1087632,0.00007162265,0.0002327893,0.01888098],"study_design_scores_gemma":[0.000006817239,0.0005563119,0.985781,0.00003074349,0.00008231041,0.0006234674,0.0006514933,0.0001040869,0.01057679,0.00001286033,0.001567042,0.000006994083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977446,0.0007054434,0.0001297537,0.00002309273,0.00001254533,0.00001492677,0.0009002139,0.000003256688,0.0004661971],"genre_scores_gemma":[0.9956934,0.0004399162,0.0004983782,0.00008194927,0.00001069374,0.00001625541,0.002473931,0.000004573511,0.000780866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003988935,"threshold_uncertainty_score":0.007931411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07867191432117107,"score_gpt":0.2905626131347225,"score_spread":0.2118906988135515,"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."}}