{"id":"W2503156707","doi":"10.3201/eid2209.160177","title":"<i>mcr-1</i>–Positive Colistin-Resistant<i>Escherichia coli</i>in Traveler Returning to Canada from China","year":2016,"lang":"en","type":"letter","venue":"Emerging infectious diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Centre for Disease Control; Providence Health Care","funders":"British Columbia Centre for Disease Control; Providence Health Care; Public Health Agency; Public Health Agency of Canada","keywords":"MCR-1; Colistin; Escherichia coli Proteins; Escherichia coli; China; Microbiology; Enterobacteriaceae Infections; Traveler's diarrhea; Medicine; Biology; Environmental health; Geography; Antibiotics; Enterobacteriaceae; Genetics; Internal medicine; Gene; Diarrhea","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009067709,0.0006997337,0.0006540894,0.0001251886,0.0002035711,0.0001049997,0.0004825531,0.0005473515,0.0001935835],"category_scores_gemma":[0.0003254995,0.0006773827,0.0002078973,0.0002415067,0.0001121331,0.00000801082,0.0001876174,0.0006100199,0.00001829898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004103546,"about_ca_system_score_gemma":0.001105752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1642932,"about_ca_topic_score_gemma":0.2351539,"domain_scores_codex":[0.9966294,0.0002704457,0.0005796878,0.00117177,0.0004458053,0.0009028626],"domain_scores_gemma":[0.9984242,0.0001075096,0.0003260729,0.0007691264,0.000134493,0.0002386471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002575747,0.00004877806,0.04671981,0.0001209926,0.0003063351,0.0005407264,0.0000695175,0.00003377333,0.07468668,0.000004565971,0.8768427,0.0003685359],"study_design_scores_gemma":[0.0008243318,0.0001613675,0.2574996,0.0007059585,0.0001646105,0.000005626601,0.00003036708,0.000004780153,0.005582578,0.0000609687,0.7336667,0.001293112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550657,0.0008385265,0.0003676065,0.03519538,0.001765652,0.000708663,0.003412304,0.00007122244,0.002574948],"genre_scores_gemma":[0.8380247,0.0001527813,0.0001056068,0.1475532,0.0071955,0.0001012131,0.002689562,0.0002476759,0.003929737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2107798,"threshold_uncertainty_score":0.9995677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004101568195297039,"score_gpt":0.2143331030980457,"score_spread":0.2102315349027487,"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."}}