{"id":"W2754100201","doi":"10.1097/pts.0000000000000292","title":"Early Warning Scores to Predict Noncritical Events Overnight in Hospitalized Medical Patients: A Prospective Case Cohort Study","year":2017,"lang":"en","type":"article","venue":"Journal of Patient Safety","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Mews; Early warning score; Medicine; Confidence interval; Prospective cohort study; Receiver operating characteristic; Logistic regression; Emergency medicine; Odds ratio; Warning system; Cohort study; Cohort; Odds; Medical emergency; Intensive care medicine; Internal medicine","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":[0.002147801,0.0006242998,0.0006000549,0.001048774,0.001429943,0.001207469,0.0008491409,0.001032457,0.001384576],"category_scores_gemma":[0.006502079,0.0007963368,0.0009644814,0.001043387,0.0005573945,0.0008298557,0.0007820402,0.001652566,0.0002491907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258485,"about_ca_system_score_gemma":0.001532718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02771968,"about_ca_topic_score_gemma":0.0313293,"domain_scores_codex":[0.9983064,0.0004897494,0.0001574897,0.000395621,0.0003447692,0.000306001],"domain_scores_gemma":[0.9950489,0.001199549,0.001564462,0.0005429541,0.0006571999,0.0009869724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001524784,0.0001573345,0.9987792,0.000005184778,0.00003833061,0.0002748287,0.0001160961,0.00001659243,0.00006152871,0.00000995048,0.00008504268,0.000303471],"study_design_scores_gemma":[0.00007637633,0.0007124609,0.9961334,0.00001722339,0.00006580893,0.001212975,0.0007256207,0.0008071254,0.00007218625,0.00002745185,0.0001281438,0.00002117541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995605,0.00006936078,0.00006665305,0.00003518041,0.000006762573,0.00003566823,0.0001176831,0.000001258791,0.0001068429],"genre_scores_gemma":[0.9994102,0.0000620252,0.0001695957,0.00003055892,0.00001431233,0.00003522823,0.0002036577,0.000001940474,0.00007255063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02771968,"threshold_uncertainty_score":0.05511665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075531508485294,"score_gpt":0.3401802072579502,"score_spread":0.3194248921730972,"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."}}