{"id":"W4212954711","doi":"10.3389/fvets.2022.838498","title":"Impact of a Regulation Restricting Critical Antimicrobial Usage on Prevalence of Antimicrobial Resistance in Escherichia coli Isolates From Fecal and Manure Pit Samples on Dairy Farms in Québec, Canada","year":2022,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Association des Médecins Vétérinaires du Québec; Fonds de Recherche du Québec – Nature et Technologies","funders":"Agriculture and Agri-Food Canada; Université de Montréal; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Antibiotic resistance; Manure; Biology; Antimicrobial; Multiple drug resistance; Feces; Veterinary medicine; Herd; Salmonella; Biotechnology; Drug resistance; Microbiology; Antibiotics; Animal science; Medicine; Bacteria; Agronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009871969,0.0003313118,0.0003775866,0.0006447115,0.001451657,0.001237719,0.0009327719,0.0004180159,0.00133983],"category_scores_gemma":[0.002068298,0.000192582,0.000360834,0.00147629,0.0006930986,0.0002426526,0.0004325265,0.0004526022,0.0001156979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02409922,"about_ca_system_score_gemma":0.01905969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9899551,"about_ca_topic_score_gemma":0.9932435,"domain_scores_codex":[0.9988845,0.0001539191,0.00005530786,0.0002605712,0.0003452416,0.0003005914],"domain_scores_gemma":[0.9970077,0.0003963753,0.0005616509,0.00009331996,0.00142817,0.0005128781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002734388,0.000101674,0.9794028,0.00008080385,0.00008740379,0.0002528476,0.0006553659,0.0006384905,0.005813784,0.00008082327,0.001183238,0.01142938],"study_design_scores_gemma":[0.000003808015,0.00006030254,0.9978039,0.00001475428,0.00001608736,0.00002673111,0.0005355826,0.0004772312,0.0002982823,0.000005311846,0.0007505176,0.000007474569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951662,0.000460028,0.0002419302,0.0002907024,0.00001244482,0.00003782905,0.002546425,0.00001847906,0.001225931],"genre_scores_gemma":[0.9956221,0.0002963818,0.0006085592,0.0002817978,0.000005983783,0.00002262486,0.001568135,0.000007514355,0.001587006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02409922,"threshold_uncertainty_score":0.1748529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123739509985032,"score_gpt":0.2565089300224708,"score_spread":0.2452715349226205,"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."}}