{"id":"W4410498860","doi":"10.1128/spectrum.02156-24","title":"One Health study of mobile colistin resistance ( <i>mcr</i> ) in <i>Salmonella enterica</i> in Canada, 2017–2022","year":2025,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health; Saskatchewan Health Authority; Government of Newfoundland and Labrador; University of Calgary; Queen Elizabeth II Health Sciences Centre; University of Alberta; Université de Montréal; Public Health Ontario; BC Centre for Disease Control; Horizon Health Network; University of Manitoba; Public Health Agency of Canada","funders":"","keywords":"Colistin; Salmonella; Salmonella enterica; MCR-1; Drug resistance; Microbiology; Biology; Serotype; Multi drug resistant; Antibiotics; Enterobacteriaceae; Bacteria; Gene; Escherichia coli; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004764333,0.0005643597,0.0004463756,0.001591243,0.003429733,0.00127867,0.0009672015,0.0008007433,0.002434696],"category_scores_gemma":[0.0009922599,0.0005126746,0.0007265852,0.003353978,0.001009644,0.0003540431,0.0008839592,0.0009690776,0.0004214692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02088785,"about_ca_system_score_gemma":0.02876187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98575,"about_ca_topic_score_gemma":0.9876072,"domain_scores_codex":[0.9988006,0.00006416766,0.00005083962,0.0002200029,0.0003511492,0.0005132245],"domain_scores_gemma":[0.9977505,0.0000769625,0.000332969,0.00005461769,0.001123193,0.0006618256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002077097,0.0001320079,0.9916077,0.0001115969,0.00007128665,0.0004687117,0.001450377,0.00005798863,0.001069649,0.0000982696,0.001116979,0.003607783],"study_design_scores_gemma":[0.00001171641,0.0001901031,0.995495,0.00003880708,0.00002991224,0.0001698137,0.002597152,0.00008250195,0.0001306106,0.0000127159,0.001230572,0.00001122079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911705,0.0005162627,0.0001536145,0.000250826,0.00001635073,0.0001513795,0.005609175,0.00001053578,0.002121488],"genre_scores_gemma":[0.9954203,0.0004384015,0.0001406383,0.0003211754,0.00001329511,0.00003986196,0.00205974,0.000006415638,0.001560218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02088785,"threshold_uncertainty_score":0.1515527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005890075041768701,"score_gpt":0.2387709670613626,"score_spread":0.2328808920195939,"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."}}