{"id":"W2944372125","doi":"10.1093/cid/ciz300","title":"How Introducing a Registry With Automated Alerts for Carbapenem-resistant Enterobacteriaceae (CRE) May Help Control CRE Spread in a Region","year":2019,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Agency for Healthcare Research and Quality; Centers for Disease Control and Prevention","keywords":"Medicine; Carbapenem-resistant enterobacteriaceae; Infection control; Acute care; Metropolitan area; Emergency medicine; Medical emergency; Health care; Intensive care medicine; Enterobacteriaceae; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002971462,0.0005765818,0.000311597,0.0006349955,0.0006753258,0.002504036,0.00162409,0.001072956,0.004147557],"category_scores_gemma":[0.006269706,0.0003861188,0.0008810922,0.000474766,0.0006881098,0.002343544,0.001459914,0.000774524,0.0005290182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772144,"about_ca_system_score_gemma":0.005538531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0421187,"about_ca_topic_score_gemma":0.0492785,"domain_scores_codex":[0.9985488,0.0008064579,0.00005246538,0.0002518453,0.0001491113,0.0001911715],"domain_scores_gemma":[0.9971814,0.001015339,0.0004561933,0.0002777749,0.0005444806,0.0005248748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004109683,0.0009172272,0.2723115,0.0002399415,0.0003560112,0.0005382216,0.0008321668,0.6495584,0.003493614,0.01737617,0.01014165,0.04382409],"study_design_scores_gemma":[0.0001847591,0.0008187911,0.02036458,0.0001400807,0.0002918151,0.0002403598,0.001746947,0.9416957,0.00185742,0.010113,0.02245133,0.00009530685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8043275,0.0003753743,0.1502095,0.0126659,0.0003002471,0.000634896,0.002074039,0.002693599,0.026719],"genre_scores_gemma":[0.9376911,0.0002814324,0.05784539,0.000470944,0.00003048594,0.0001582125,0.0008460783,0.0000632271,0.002613146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0421187,"threshold_uncertainty_score":0.08374709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117075261188942,"score_gpt":0.2859715237309244,"score_spread":0.2742639976120302,"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."}}