{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003022885,0.0002012396,0.0005392578,0.0001202526,0.00004382549,0.00000569419,0.0003989538,0.000119336,0.00001976198],"category_scores_gemma":[0.00003110186,0.0002305989,0.00004012074,0.0003476191,0.0001195644,0.000002517634,0.0001900394,0.0001915259,0.000001901789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003493639,"about_ca_system_score_gemma":0.001089462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.281088,"about_ca_topic_score_gemma":0.9770538,"domain_scores_codex":[0.9978987,0.0002693486,0.0006985904,0.0005878931,0.00005447476,0.0004909939],"domain_scores_gemma":[0.9991109,0.00003027633,0.000236258,0.0005527842,0.00002750687,0.00004230342],"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":[0.000497821,0.000687718,0.3055537,0.0000849365,0.0000543325,0.00002593084,0.0001164975,0.00004199462,0.6813865,0.00005524334,0.01141639,0.00007885907],"study_design_scores_gemma":[0.005230036,0.001324609,0.7625336,0.0003437836,0.00002313095,0.00001931903,0.003266432,0.000006143929,0.1953841,0.00009818062,0.03107342,0.0006972595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953476,0.002232336,0.00003178874,0.0005589534,0.0002817846,0.0007035166,0.0001170721,0.000005345954,0.0007216656],"genre_scores_gemma":[0.9975358,0.0003251213,0.0001244072,0.0005675564,0.00002532621,0.00003226364,0.0001064529,0.0000154628,0.001267583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6959658,"threshold_uncertainty_score":0.9403549,"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."}}