{"id":"W3024680164","doi":"10.1017/cem.2020.187","title":"MP39: Emergency department triage redesign: can elements designed to improve department flow reduce door-to-ECG times in self-presenting ED patients suspected of myocardial infarction?","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Triage; Medicine; Emergency department; Myocardial infarction; Psychological intervention; Chest pain; Intervention (counseling); Emergency medicine; Medical emergency; Internal medicine; Nursing","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007554039,0.0003456248,0.0007014548,0.0007230079,0.0001871733,0.00001548058,0.0003631786,0.00009453578,0.002187415],"category_scores_gemma":[0.001459364,0.0003334916,0.0001801624,0.001238044,0.00003049024,0.0002213925,0.00002583005,0.000253517,0.00001382825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008402409,"about_ca_system_score_gemma":0.0003772468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004355904,"about_ca_topic_score_gemma":0.00546524,"domain_scores_codex":[0.9955336,0.0003502311,0.002215586,0.0004246248,0.000765938,0.0007100302],"domain_scores_gemma":[0.9965371,0.00005963243,0.0007998596,0.000263924,0.0006743354,0.001665168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001400825,0.0004757945,0.3900339,0.0001358978,0.0006380143,0.00006758044,0.01585434,0.001056664,0.02977566,0.00001872281,0.5506994,0.009843246],"study_design_scores_gemma":[0.02751002,0.02866668,0.8113365,0.0018924,0.002523093,0.00001278997,0.00631828,0.001932739,0.05411033,0.0008936767,0.06228704,0.002516502],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655084,0.0004445375,0.0001892171,0.01560722,0.01591244,0.001787631,0.00008670118,0.00002276894,0.000441063],"genre_scores_gemma":[0.9959852,0.00009661198,0.001858021,0.0005436827,0.001277904,0.00005130839,0.00008960009,0.00005427097,0.00004339373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4884123,"threshold_uncertainty_score":0.9999117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976490750225154,"score_gpt":0.3216674683666249,"score_spread":0.2919025608643733,"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."}}