{"id":"W4388454566","doi":"10.1017/ice.2023.195","title":"Diagnostic stewardship and the coronavirus disease 2019 (COVID-19) pandemic: Lessons learned for prevention of emerging infectious diseases in acute-care settings","year":2023,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"Society of Hospital Medicine; Infectious Diseases Society of America; Pediatric Infectious Diseases Society","keywords":"Pandemic; Stewardship (theology); Medicine; Transmission (telecommunications); Diagnostic test; Contact tracing; Health care; Intensive care medicine; Antimicrobial stewardship; Infection control; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty); Medical emergency; Business; Political science; Computer science; Emergency medicine; Pathology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00141474,0.0001778881,0.000662128,0.000286286,0.0002692825,0.00001506123,0.00004015026,0.0001413486,0.00001344134],"category_scores_gemma":[0.01448953,0.0001259889,0.0002184722,0.0002962476,0.0004348268,0.0001154839,0.00006950125,0.0002677406,0.000005055657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009824025,"about_ca_system_score_gemma":0.0001324658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001690411,"about_ca_topic_score_gemma":0.0003344074,"domain_scores_codex":[0.9980265,0.0006063452,0.0005015798,0.0003918495,0.00009737891,0.0003763016],"domain_scores_gemma":[0.9924541,0.006751175,0.0002093386,0.0001634782,0.0001351057,0.0002868121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001005594,0.00009288843,0.9205816,0.0003303446,0.0001536262,0.000008642361,0.0002703429,0.0005208474,0.00005915895,0.00217111,0.0002274564,0.07457838],"study_design_scores_gemma":[0.01069607,0.001013276,0.9621626,0.0000933391,0.0004123359,0.00002600518,0.0001968096,0.005657231,0.00000240156,0.0159148,0.00367972,0.0001454145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660785,0.004407043,0.004781807,0.02208404,0.0002664615,0.002016918,0.0001850807,0.0001466659,0.00003353533],"genre_scores_gemma":[0.9901326,0.007858894,0.00001043611,0.0008804161,0.0001390303,0.0006982065,0.0001290354,0.00001888316,0.0001324748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07443297,"threshold_uncertainty_score":0.9938118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0889604226308859,"score_gpt":0.4435317625850886,"score_spread":0.3545713399542028,"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."}}