{"id":"W575288797","doi":"10.24908/pceea.v0i0.3794","title":"PERFORMANCE ANALYSIS OF THE OPERATING ROOM USING SIMULATION","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Manitoba","funders":"","keywords":"Discrete event simulation; Variety (cybernetics); Computer science; Work (physics); Data collection; Modeling and simulation; Simulation modeling; Event (particle physics); Operations research; Simulation; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00197748,0.0008597403,0.0008562649,0.001076175,0.0004970031,0.001251422,0.0008647722,0.000737644,0.002532287],"category_scores_gemma":[0.006310698,0.0003596662,0.0007364836,0.0009565254,0.0004597862,0.0007020386,0.0006730109,0.0005771607,0.0002490615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002084115,"about_ca_system_score_gemma":0.002150441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02799662,"about_ca_topic_score_gemma":0.006243998,"domain_scores_codex":[0.9983359,0.0008396097,0.00006001699,0.0001170302,0.0003819807,0.0002655028],"domain_scores_gemma":[0.9947744,0.003851832,0.000327949,0.0002123993,0.0006955815,0.0001378936],"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":[0.00007782425,0.00002973377,0.0007853279,0.00001988329,0.00001249009,0.00001287615,0.00001248838,0.9947061,0.0003180228,0.0009880288,0.0001232205,0.002913981],"study_design_scores_gemma":[0.00000497558,0.00004017777,0.0003167531,0.000002893905,0.000004392261,0.000003788685,0.000008635281,0.9990501,0.0002310878,0.0002302005,0.000103532,0.000003562166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6716901,0.0009425709,0.2952339,0.0007897659,0.00009121411,0.000305076,0.0006578712,0.0006983295,0.02959122],"genre_scores_gemma":[0.988917,0.0002040991,0.009464917,0.0000212856,0.00001185528,0.00006378865,0.0002262665,0.00002985235,0.001060879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02799662,"threshold_uncertainty_score":0.05566734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05293117222367499,"score_gpt":0.3336326097111276,"score_spread":0.2807014374874526,"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."}}