{"id":"W7042668408","doi":"","title":"Performance Improvement of ED at VGH Using Simulation and Optimization","year":2013,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Performance improvement; Throughput; Performance prediction; Simulation modeling; Quality management; Discrete event simulation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006899458,0.0006296539,0.0004722785,0.0004537596,0.0003354313,0.0009709783,0.0003543873,0.000440359,0.001391665],"category_scores_gemma":[0.001318206,0.0002385965,0.0005634873,0.0006033048,0.0002043241,0.0004740599,0.0003621191,0.0003966287,0.0001544961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581468,"about_ca_system_score_gemma":0.002220643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02330372,"about_ca_topic_score_gemma":0.01654578,"domain_scores_codex":[0.9996959,0.0001391411,0.00001182625,0.000033492,0.00006471297,0.00005499063],"domain_scores_gemma":[0.9995289,0.0002825444,0.00003860721,0.00002409581,0.00009972387,0.00002613062],"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":[0.0000526486,0.00004898258,0.00103986,0.00002372398,0.00001088517,0.00001067638,0.00001550403,0.9873668,0.0008650991,0.000907511,0.0002046201,0.009453739],"study_design_scores_gemma":[0.000007403033,0.00004344366,0.0003788864,0.000003882485,0.0000057773,0.000001939954,0.00001850293,0.9983085,0.0006600007,0.0002420204,0.0003266719,0.000002917069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6533024,0.001035987,0.3058076,0.001211106,0.0001017346,0.0002994574,0.0004070544,0.0005491094,0.03728564],"genre_scores_gemma":[0.9519185,0.0006564166,0.04420515,0.00003083028,0.000009933918,0.00008213315,0.0001880134,0.00003006018,0.002878845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02330372,"threshold_uncertainty_score":0.04633617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04474993566720395,"score_gpt":0.3256100814837625,"score_spread":0.2808601458165585,"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."}}