{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000909596,0.0001062445,0.0001999924,0.0003620757,0.0008008461,0.00001859416,0.0002445961,0.0001890905,0.00008831982],"category_scores_gemma":[0.001509969,0.00008439274,0.0001013326,0.001724591,0.00001231103,0.0002457001,0.00003167139,0.0002994661,0.00000221489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655287,"about_ca_system_score_gemma":0.001554576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01977495,"about_ca_topic_score_gemma":0.009495728,"domain_scores_codex":[0.9987118,0.00003964457,0.0005652452,0.0001440077,0.0002770584,0.0002622436],"domain_scores_gemma":[0.997473,0.00008409552,0.0006815923,0.000147239,0.001510158,0.0001039226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001110655,0.0000180004,0.7622699,0.0001175144,0.0001030652,2.428528e-9,0.005354968,0.2301044,0.0005406723,0.001214182,0.0001428272,0.0001333937],"study_design_scores_gemma":[0.00005597537,0.000004672903,0.4837602,0.0001308312,0.0001588727,6.944141e-8,0.0005572237,0.514746,0.0002512737,0.000006481376,0.000258943,0.0000694882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949574,0.0000161251,0.0001694095,0.0006186095,0.0009401295,0.0004979337,0.00001820002,0.00002263419,0.002759598],"genre_scores_gemma":[0.995373,0.000004505188,0.003479474,0.0002126039,0.00009267282,0.00003195161,0.000008214749,0.00001919529,0.0007784563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2846416,"threshold_uncertainty_score":0.9867525,"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."}}