{"id":"W3086863698","doi":"","title":"2166. Preparedness for in Canadian Nosocomial Infection Surveillance Program (CNISP) Hospitals, 2018.","year":2018,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Nosocomial Infections in ICU","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sinai Health System","funders":"","keywords":"Medicine; Preparedness; Pathogenic organism; Medical emergency; Infection control; Intensive care medicine; Microbiology","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":[0.0009053801,0.0006718676,0.000244034,0.002134545,0.002825203,0.001489812,0.001227916,0.001596657,0.1222211],"category_scores_gemma":[0.007973121,0.0003958245,0.0005030272,0.001779038,0.0003613008,0.0005970726,0.001434619,0.001371382,0.02090156],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02063836,"about_ca_system_score_gemma":0.0936714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9589484,"about_ca_topic_score_gemma":0.9800457,"domain_scores_codex":[0.998576,0.00007450725,0.00008687402,0.00006892634,0.00071273,0.0004808845],"domain_scores_gemma":[0.9917411,0.0002832215,0.000287033,0.00009193279,0.004664309,0.002932475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004119769,0.00003796178,0.006206684,0.00008404449,0.000004148438,0.00004269118,0.00005136092,0.00006547682,0.00006350834,0.0002811911,0.9706297,0.02249199],"study_design_scores_gemma":[0.000103791,0.00005570265,0.209345,0.000516494,0.00002613663,0.0000968731,0.0008327127,0.0003098078,0.000208516,0.0001793514,0.7882869,0.0000387278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01859473,0.006147972,0.0007080826,0.06700704,0.008477238,0.001488801,0.3680787,0.001318884,0.5281785],"genre_scores_gemma":[0.08976532,0.006768754,0.003932427,0.01912821,0.002139769,0.000966309,0.1692031,0.0004394554,0.7076567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9793617,"threshold_uncertainty_score":0.4088703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462138623459904,"score_gpt":0.3398891693641005,"score_spread":0.3252677831295015,"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."}}