{"id":"W2122119594","doi":"10.1177/0037549707083111","title":"Modeling and Improving Emergency Department Systems using Discrete Event Simulation","year":2007,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":258,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Discrete event simulation; Emergency department; Event (particle physics); Computer science; Resource (disambiguation); Throughput; Service (business); Operations management; Simulation; Medicine; Operating system; Engineering; Computer network; Business; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002359286,0.00015376,0.0001839552,0.0002772229,0.0003736649,0.0001571755,0.0001521176,0.0001031995,0.00004855771],"category_scores_gemma":[0.0004597418,0.0001329662,0.00007365889,0.0005393504,0.0000190858,0.0005117453,0.00008013617,0.00008275812,0.00001510638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106746,"about_ca_system_score_gemma":0.00002104487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102643,"about_ca_topic_score_gemma":0.00001774619,"domain_scores_codex":[0.9973717,0.00007175266,0.001035201,0.0004622751,0.0008110816,0.0002479748],"domain_scores_gemma":[0.9982772,0.0004863786,0.0002936464,0.0004057708,0.0004207832,0.0001162339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001447116,0.00001320478,0.00395224,0.00000456625,0.000003866809,3.211061e-7,0.0001188976,0.9779908,0.0006949456,0.001044794,0.000002412399,0.01615946],"study_design_scores_gemma":[0.0001674382,0.00002022978,0.00283189,0.00001089903,0.00001650108,8.633277e-7,0.0002023421,0.9897825,0.00008541563,0.006253978,0.0004702157,0.0001577357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4486957,0.00009331612,0.5504987,0.00001562411,0.000133587,0.0003725846,0.000004868423,0.00006501511,0.0001206085],"genre_scores_gemma":[0.9966691,0.000003891238,0.0029682,0.00001548209,0.0001729721,0.00000999374,0.00001673715,0.00001846339,0.0001251269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5479734,"threshold_uncertainty_score":0.5422205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1405076877365009,"score_gpt":0.4626594015676943,"score_spread":0.3221517138311933,"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."}}