{"id":"W1997650073","doi":"10.1186/1472-6947-13-59","title":"Simulating an emergency department: the importance of modeling the interactions between physicians and delegates in a discrete event simulation","year":2013,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; Programs for Assessment of Technology in Health Research Institute","funders":"","keywords":"Delegate; Emergency department; Event (particle physics); Computer science; Health informatics; Hierarchy; Discrete event simulation; Emergency physician; Delegation; Medical emergency; Medicine; Resource (disambiguation); Operations research; Simulation; Nursing; Programming language; Engineering; Public health","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":[0.001325066,0.00009117729,0.0001730244,0.00006395907,0.0007061377,0.00003271913,0.0001042318,0.00008487312,0.00009041567],"category_scores_gemma":[0.0008131809,0.00005074578,0.00002503461,0.0001905682,0.0000336943,0.0004589533,0.0001027781,0.0003391482,0.000002960921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002556761,"about_ca_system_score_gemma":0.0001023243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001027666,"about_ca_topic_score_gemma":0.001005167,"domain_scores_codex":[0.9979755,0.0001902179,0.001219992,0.00009072778,0.0003331699,0.0001904136],"domain_scores_gemma":[0.9968355,0.002410513,0.0003135074,0.0001893866,0.0001737235,0.00007740451],"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":[0.000009550223,0.0000123698,0.1179036,0.0000873685,0.000005665769,8.310073e-8,0.006607493,0.7772244,6.159162e-7,0.0006294261,0.00001288439,0.09750647],"study_design_scores_gemma":[0.0001998598,0.00002002708,0.01057632,0.0004961264,0.000007925923,3.526964e-7,0.008416465,0.9773306,1.320064e-7,0.00287411,0.00002198006,0.000056045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5421031,0.00004729797,0.4572733,0.0001220697,0.00005203055,0.0003458177,0.000002676755,0.000006398408,0.00004727228],"genre_scores_gemma":[0.9673398,0.00009378108,0.03208946,0.0003180625,0.00008043072,0.00005149309,0.00001536002,0.000007477468,0.000004126083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4252367,"threshold_uncertainty_score":0.5431112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09246147012540304,"score_gpt":0.4696994056228529,"score_spread":0.3772379354974499,"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."}}