{"id":"W4315703080","doi":"10.1016/j.jemermed.2022.10.007","title":"Implementation of Vertical Split Flow Model for Patient Throughput at a Community Hospital Emergency Department","year":2023,"lang":"en","type":"article","venue":"Journal of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Overcrowding; Emergency department; Medicine; Staffing; Emergency medicine; Retrospective cohort study; Throughput; Triage; Medical emergency; Computer science; Surgery; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008725912,0.0002496013,0.00074022,0.0002166966,0.0002392027,7.129315e-7,0.0001705858,0.00007712618,0.001497662],"category_scores_gemma":[0.0005793519,0.0001797591,0.0004406702,0.00048377,0.00008459712,0.0001229395,0.0001305463,0.0002886868,0.000007492341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387895,"about_ca_system_score_gemma":0.0001127749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006298812,"about_ca_topic_score_gemma":0.0001229527,"domain_scores_codex":[0.9966878,0.00009078449,0.00190871,0.0001676709,0.0007593945,0.0003856564],"domain_scores_gemma":[0.9977618,0.00008655178,0.0005039744,0.0003145767,0.001113926,0.0002191352],"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":[0.0008496668,0.0008218851,0.04794436,0.0008854152,0.001326566,0.00002808679,0.02226409,0.0005254252,0.01002909,0.0003487744,0.9103339,0.004642753],"study_design_scores_gemma":[0.04283217,0.1073315,0.446434,0.003495796,0.01438839,0.0002381352,0.1421027,0.0897921,0.03577634,0.02267699,0.09197933,0.00295256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846302,0.002845753,0.002362627,0.004526371,0.004365359,0.000699582,0.0000853831,0.00002671852,0.0004580674],"genre_scores_gemma":[0.9851498,0.01277382,0.0007984174,0.00008787377,0.0006379042,0.00004780694,0.0001218643,0.00003559373,0.0003468978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8183545,"threshold_uncertainty_score":0.9994151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0748175202873537,"score_gpt":0.3998691644470487,"score_spread":0.325051644159695,"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."}}