{"id":"W3095696996","doi":"10.1016/j.ajem.2020.10.047","title":"Predicting emergency department volumes: A multicenter prospective study","year":2020,"lang":"en","type":"letter","venue":"The American Journal of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto; Sinai Health System","funders":"","keywords":"Emergency department; Multicenter study; Medical emergency; Emergency medicine; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004767121,0.001266938,0.001004084,0.0007880898,0.001128,0.00219569,0.001363698,0.002550586,0.002359258],"category_scores_gemma":[0.01148115,0.00129176,0.001088107,0.001434622,0.0008876658,0.002362453,0.001049563,0.002517913,0.0009258166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000587073,"about_ca_system_score_gemma":0.0009380319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003563193,"about_ca_topic_score_gemma":0.005240541,"domain_scores_codex":[0.9976014,0.001325784,0.0001838893,0.0003993264,0.0002299625,0.0002596019],"domain_scores_gemma":[0.9904577,0.0035991,0.001972007,0.001118199,0.001232921,0.001620065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00171356,0.0004830971,0.9957374,0.00001186144,0.0002282759,0.0001905593,0.0000885616,0.00002816621,0.0001055723,0.00002289224,0.0005540439,0.0008360113],"study_design_scores_gemma":[0.001425685,0.001786213,0.9929932,0.00003405727,0.0005055749,0.0008967407,0.0008683336,0.0004681584,0.00009514957,0.0001202359,0.000775467,0.00003105943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975116,0.0002941896,0.0001272722,0.0006233279,0.00006513955,0.00006594594,0.0006875477,0.000006334884,0.0006185867],"genre_scores_gemma":[0.9963564,0.0002143553,0.0004398224,0.0009391974,0.0002687528,0.0001216895,0.001279806,0.00001157412,0.000368466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004767121,"threshold_uncertainty_score":0.02521122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368298763030249,"score_gpt":0.3364190678171311,"score_spread":0.3027360801868286,"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."}}