{"id":"W4385449689","doi":"10.2196/45257","title":"Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab Emirates","year":2023,"lang":"en","type":"article","venue":"JMIR AI","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tamkeen; York University; New York University Abu Dhabi; Cleveland Clinic","keywords":"Early warning score; Medicine; Vital signs; Abu dhabi; Retrospective cohort study; Emergency medicine; Cohort; Emergency department; Warning system; Cohort study; Medical emergency; Internal medicine; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006013985,0.0006861145,0.0005295849,0.0009099233,0.0004856935,0.000881256,0.0006977554,0.0007070812,0.0009735803],"category_scores_gemma":[0.01088955,0.0004583627,0.001166022,0.0005972747,0.0003111114,0.0005264567,0.0006619024,0.001086562,0.0002491546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000611141,"about_ca_system_score_gemma":0.0006547343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01342318,"about_ca_topic_score_gemma":0.009496625,"domain_scores_codex":[0.9985275,0.0006424455,0.0001367036,0.0003528374,0.000181419,0.0001591408],"domain_scores_gemma":[0.9943082,0.002680229,0.001219408,0.0007042071,0.0007602812,0.0003277187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002979087,0.0001208943,0.9976828,0.000007390635,0.0001610544,0.00008868235,0.00008010132,0.0004479067,0.00007254787,0.00002394324,0.0001871065,0.0008297036],"study_design_scores_gemma":[0.00008882281,0.001071486,0.9648839,0.00005007288,0.0003196757,0.0006358132,0.001224146,0.0306593,0.0002938953,0.000102951,0.0006410004,0.00002878184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992449,0.00008910747,0.0002071595,0.00005358635,0.00001111903,0.00001519782,0.0003124193,0.000002396727,0.00006410908],"genre_scores_gemma":[0.9986053,0.00009107972,0.0002607454,0.00003723431,0.00001400662,0.00002633558,0.0008567093,0.000002855614,0.0001057484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01342318,"threshold_uncertainty_score":0.0318054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.145280695388654,"score_gpt":0.3718261755518861,"score_spread":0.2265454801632321,"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."}}