{"id":"W2253030612","doi":"10.1111/acem.12915","title":"Evaluating the Impact of Clinical Decision Tools in Pediatric Acute Gastroenteritis: A Population‐based Cohort Study","year":2016,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Calgary; Alberta Children's Hospital; University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Alberta Children's Hospital Foundation; Ontario Ministry of Health and Long-Term Care; GlaxoSmithKline","keywords":"Medicine; Emergency department; Confidence interval; Odds ratio; Logistic regression; Retrospective cohort study; Cohort; Pediatrics; Ondansetron; Emergency medicine; Acute gastroenteritis; Population; Acute care; Health care; Internal medicine; Nausea","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003379896,0.0004527179,0.0004350054,0.0009029086,0.0005360431,0.001136665,0.0006666121,0.0005109322,0.0009787006],"category_scores_gemma":[0.01067038,0.0004075766,0.001232182,0.001859551,0.0003781587,0.0007729256,0.0007347209,0.0009097266,0.0001805253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0018651,"about_ca_system_score_gemma":0.002102525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08072979,"about_ca_topic_score_gemma":0.08562121,"domain_scores_codex":[0.9974115,0.0008276665,0.0002584876,0.0004023495,0.0007020447,0.0003979329],"domain_scores_gemma":[0.9926616,0.001540478,0.003908697,0.0004471592,0.000833975,0.0006080851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005262422,0.00003325416,0.9993927,0.000004922406,0.00005420984,0.0000147638,0.00004282299,0.00001545172,0.00001069806,0.000003386752,0.0000395978,0.0003355511],"study_design_scores_gemma":[0.00001415444,0.0001850491,0.9991413,0.000009469502,0.00003990305,0.00005648459,0.0002075907,0.0002214684,0.00001967407,0.000005545823,0.00009592395,0.000003450284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993213,0.00008376311,0.00003570578,0.00003218318,0.000003265645,0.00001914637,0.0003742221,0.000001729347,0.0001286592],"genre_scores_gemma":[0.9991239,0.0001089494,0.0001409323,0.00002103779,0.000004602741,0.00002523989,0.0005038755,0.000001950379,0.00006941695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08072979,"threshold_uncertainty_score":0.1605198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2126225353083421,"score_gpt":0.5616830674459442,"score_spread":0.3490605321376021,"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."}}