{"id":"W2023297132","doi":"10.3201/eid1701.101358","title":"New Delhi Metallo-β-Lactamase in<i>Klebsiella pneumoniae</i>and<i>Escherichia coli,</i>Canada","year":2010,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Klebsiella pneumoniae; New delhi; Escherichia coli; Microbiology; Plasmid; Multiple drug resistance; Klebsiella; Biology; Klebsiella infections; Enterobacteriaceae; Gene; Drug resistance; Medicine; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007684453,0.0002447212,0.0002181356,0.00004898594,0.0001084063,0.00005854657,0.0001693546,0.0001133643,0.0001149484],"category_scores_gemma":[0.0002212561,0.0002529164,0.00007395296,0.0001537037,0.00007593071,0.00001076501,0.00011582,0.0001884284,0.000005507503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002692242,"about_ca_system_score_gemma":0.000564463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02854296,"about_ca_topic_score_gemma":0.2522388,"domain_scores_codex":[0.9987416,0.00004926384,0.0002560793,0.0004385099,0.0001571589,0.000357388],"domain_scores_gemma":[0.9991645,0.00002852176,0.00009985306,0.0003857898,0.00004757298,0.0002737787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004632827,0.0000763935,0.5299786,0.00003491193,0.0000647164,0.00002842797,0.00002080022,0.00004814817,0.4620385,0.0001572732,0.006220155,0.001285785],"study_design_scores_gemma":[0.002118485,0.0002220538,0.7245484,0.00005911323,0.0001691678,0.000064172,0.000113157,0.0001570465,0.0346631,0.0004448534,0.2362011,0.00123935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966295,0.0005602002,0.0002172358,0.0001864537,0.0007591408,0.0001691468,0.00002403768,0.00003758987,0.001416735],"genre_scores_gemma":[0.997896,0.0001905315,0.0002682027,0.0004791167,0.0003320534,0.000009973148,0.00004977679,0.00004047273,0.00073391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4273754,"threshold_uncertainty_score":0.9999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002725510037002635,"score_gpt":0.2101482740463951,"score_spread":0.2074227640093924,"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."}}