{"id":"W2922083844","doi":"10.1093/jcag/gwz006.158","title":"A159 EMERGING THEMES AND THE OLD TALE OF C. DIFFICILE INFECTION: GENETICS, RESERVOIRS, TREATMENT AND MANAGEMENT","year":2019,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Variation Biotechnologies (Canada); University of Ottawa; University of Guelph; NOSM University; Health Sciences North","funders":"","keywords":"Clostridium difficile; Multilocus sequence typing; Outbreak; Medicine; GeneXpert MTB/RIF; Infection control; Ribotyping; Antibiotic resistance; Multiple Loci VNTR Analysis; Typing; Incidence (geometry); Antibiotics; Internal medicine; Intensive care medicine; Genotyping; Genotype; Microbiology; Virology; Biology; Sputum; Pathology; 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":[0.0003451071,0.00006736587,0.000170719,0.00006221519,0.00005311924,0.00001437936,0.0001235093,0.00005372858,0.00001359573],"category_scores_gemma":[0.00002576661,0.00004177338,0.00008465951,0.00003029623,0.00008262148,0.000004855681,0.00006964178,0.00006637659,3.510756e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009792338,"about_ca_system_score_gemma":0.00004112046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417727,"about_ca_topic_score_gemma":0.06683581,"domain_scores_codex":[0.9992419,0.0001940637,0.0002337647,0.00007902127,0.00009963406,0.0001515717],"domain_scores_gemma":[0.9993033,0.00001584538,0.000371619,0.0001472102,0.0001059534,0.00005602818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002944318,0.00002482107,0.9923112,0.00002107819,0.000360489,5.394459e-7,0.0001260601,0.00004935065,0.005936824,0.0000593958,0.0006384258,0.0001773919],"study_design_scores_gemma":[0.00568689,0.001813229,0.9679804,0.00005442485,0.0001410821,0.00004590411,0.0002674118,0.00003926076,0.005775646,0.00009454258,0.01803588,0.00006528015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964392,0.000150726,0.000005888285,0.00294849,0.0001488783,0.000150676,0.00001389311,3.895249e-7,0.0001418243],"genre_scores_gemma":[0.9974755,0.001371457,0.00003496497,0.000167351,0.00005188632,0.000002402908,0.000003119653,0.000005547106,0.0008877945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06541809,"threshold_uncertainty_score":0.950192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005338757289386143,"score_gpt":0.2233132451423691,"score_spread":0.2179744878529829,"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."}}