{"id":"W4404526038","doi":"10.1097/pec.0000000000003300","title":"The National Emergency Department Overcrowding Scale and Perceived Staff Workload","year":2024,"lang":"en","type":"article","venue":"Pediatric Emergency Care","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Advancing Translational Sciences","keywords":"Overcrowding; Workload; Medicine; Logistic regression; Confidence interval; Receiver operating characteristic; Emergency department; Correlation; Demography; Statistics; Nursing; Mathematics; Internal medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002091683,0.0002539817,0.0002100096,0.0006937321,0.0001624753,0.0004395561,0.0003718119,0.0001992261,0.00169175],"category_scores_gemma":[0.01309063,0.0001223429,0.0002370173,0.0004616948,0.0002943113,0.0004449761,0.0008606927,0.0003456214,0.000174314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000291254,"about_ca_system_score_gemma":0.0003517019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416337,"about_ca_topic_score_gemma":0.001911809,"domain_scores_codex":[0.9985169,0.0004714015,0.0002706862,0.0001216234,0.0004914482,0.0001279021],"domain_scores_gemma":[0.9913353,0.002435801,0.003801109,0.000261492,0.001034679,0.001131634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000392144,0.00005916196,0.9963159,0.00002909293,0.00003013154,0.00003380102,0.0002294221,0.0001209305,0.0001291851,0.00001487617,0.000156621,0.002841526],"study_design_scores_gemma":[0.000002012483,0.00007567801,0.9992119,0.000009466416,0.000003285541,0.00006375851,0.0002765453,0.0001742767,0.00004407175,0.000008031507,0.0001283929,0.000002551408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987676,0.00009920445,0.0002261194,0.00005729742,0.000009289497,0.00001755969,0.0001561131,0.000007219291,0.0006596015],"genre_scores_gemma":[0.9992188,0.00006247818,0.0003018867,0.00002184417,0.00001260707,0.00002278703,0.0002490906,0.0000018575,0.0001084632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002091683,"threshold_uncertainty_score":0.01106197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150725491905206,"score_gpt":0.3016744131992748,"score_spread":0.2866018640087543,"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."}}