{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006817409,0.000227056,0.0007442093,0.0001968485,0.0002261477,0.00003821023,0.0001909046,0.0001016503,0.0001848853],"category_scores_gemma":[0.003189905,0.0001583371,0.000204881,0.00009685545,0.0000610263,0.0002524023,0.0001570149,0.0004259953,0.0000174814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006178012,"about_ca_system_score_gemma":0.0001796335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003882698,"about_ca_topic_score_gemma":0.0001150744,"domain_scores_codex":[0.996563,0.0001490271,0.001034853,0.0003061092,0.001624544,0.0003224949],"domain_scores_gemma":[0.997819,0.0001552189,0.0005120548,0.0004123361,0.0004933955,0.0006079689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001477403,0.007078533,0.976137,0.00001472473,0.0003884568,0.01068891,0.002158481,0.000004079303,8.461442e-7,0.00001527304,0.0002339233,0.001802411],"study_design_scores_gemma":[0.01257902,0.01133413,0.9739464,0.0008335789,0.0002847642,0.0004061982,0.0003166726,0.00002003545,0.00002668376,0.00003026857,0.00008433267,0.0001379116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962791,0.00004865681,0.0000239346,0.000805499,0.0005553088,0.001907561,0.00001732869,0.000009235257,0.000353416],"genre_scores_gemma":[0.9992973,0.00003215424,0.0002009519,0.0001953488,0.0001552796,0.00007196292,0.000003972215,0.00002451909,0.00001856349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01110161,"threshold_uncertainty_score":0.6456802,"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."}}