{"id":"W3097150301","doi":"10.1017/ice.2020.1188","title":"Validation of Administrative Codes for Identification of <i>Staphylococcus aureus</i> Infections Among Electronic Health Data","year":2020,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Antimicrobial Resistance in Staphylococcus","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hospital for Sick Children; Université de Montréal; Jewish General Hospital; University of Toronto; Dalhousie University; Public Health Agency; IWK Health Centre; University of Alberta; University of Waterloo; McGill University; Public Health Agency of Canada; McGill University Health Centre; Nabriva Therapeutics; Alberta Health Services; London Health Sciences Centre","keywords":"Medicine; Diagnosis code; Staphylococcus aureus; Epidemiology; Internal medicine; Predictive value; Emergency medicine; Pediatrics; Population; Environmental health; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001184513,0.0001570336,0.0008313836,0.00009068709,0.0001004217,0.000005390499,0.00008751992,0.0001436708,0.000007819828],"category_scores_gemma":[0.003998642,0.0001473,0.0001310538,0.0001914348,0.0003314769,0.0001781402,0.00003430314,0.0001922708,0.000001306363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005103931,"about_ca_system_score_gemma":0.0002846146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000401803,"about_ca_topic_score_gemma":0.0001323951,"domain_scores_codex":[0.9979075,0.0002487201,0.001062381,0.0004242243,0.00007679051,0.0002803926],"domain_scores_gemma":[0.9971427,0.001005902,0.001091723,0.0003057979,0.0003212616,0.0001326319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009370703,0.0005137606,0.9214984,0.0008847653,0.0005552676,5.570914e-7,0.000462401,0.0004848887,0.05289873,0.01272812,0.004083152,0.004952957],"study_design_scores_gemma":[0.005917183,0.01129822,0.9384164,0.0001647312,0.0005647988,0.000006807812,0.0002221515,0.01413107,0.01784383,0.004812489,0.006235281,0.0003870475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7345087,0.0007051613,0.2541401,0.008250551,0.0001552872,0.001572752,0.0005603262,0.00005272412,0.00005441485],"genre_scores_gemma":[0.9978419,0.0005539111,0.0002907736,0.0007347828,0.0001507639,0.00007608307,0.0003265402,0.00001496326,0.00001031524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2633332,"threshold_uncertainty_score":0.6006721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05617293234124066,"score_gpt":0.3681942183398967,"score_spread":0.312021285998656,"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."}}