{"id":"W3161096454","doi":"10.3389/fvets.2021.654125","title":"Prevalence of Antimicrobial Resistance and Characteristics of Escherichia coli Isolates From Fecal and Manure Pit Samples on Dairy Farms in the Province of Québec, Canada","year":2021,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Fonds de Recherche du Québec – Nature et Technologies; Cegep de Saint Hyacinthe","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Escherichia coli; Antibiotic resistance; Tetracycline; Feces; Manure; Veterinary medicine; Biology; Antimicrobial; Microbiology; Dairy cattle; Antibiotics; Medicine; Animal science; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002269561,0.000108586,0.0002140458,0.00004075075,0.00003871593,0.00001306136,0.0003316217,0.00005449907,0.000001972007],"category_scores_gemma":[0.0001771322,0.00009367528,0.00001621059,0.0001809558,0.0008591206,0.00001367245,0.0001370882,0.00007754476,1.594512e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003005484,"about_ca_system_score_gemma":0.0008430295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009892755,"about_ca_topic_score_gemma":0.02611317,"domain_scores_codex":[0.9989701,0.00008414407,0.0002894365,0.0003463596,0.0001482176,0.0001617593],"domain_scores_gemma":[0.9993853,0.00004047604,0.0001770784,0.0003108702,0.00005832407,0.00002798189],"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":[0.000283228,0.00004668648,0.2336431,0.0002732181,0.000005688045,0.00002160707,0.0001495137,0.000002862406,0.7650425,0.00001498379,0.0002534711,0.0002630618],"study_design_scores_gemma":[0.00022202,0.0002228621,0.9118797,0.0002732003,0.000006816395,0.000005722441,0.0003329409,0.00004427374,0.08621931,0.00001862293,0.0006636974,0.0001107928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980249,0.001160723,0.0001856107,0.0001155591,0.0001576052,0.000125345,0.0001908614,8.640568e-7,0.00003854559],"genre_scores_gemma":[0.9935771,0.0005985461,0.005666167,0.00006456109,0.0000127081,0.000001302553,0.00000892036,0.0000051869,0.00006548418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6788232,"threshold_uncertainty_score":0.9967005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007668126975084461,"score_gpt":0.2167610665561608,"score_spread":0.2090929395810764,"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."}}