{"id":"W7133064242","doi":"","title":"Development of a Generic Emergency Department Discrete Event Simulation Model","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discrete event simulation; Flexibility (engineering); Key (lock); Staffing; Process (computing); Event (particle physics); Duration (music); Resource (disambiguation)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001562729,0.0006557342,0.0008829412,0.0004436543,0.00332548,0.00001779323,0.0003555192,0.0006577458,0.01008749],"category_scores_gemma":[0.0002585244,0.0007079478,0.0002571513,0.0009147025,0.00002263643,0.0001766529,0.0001866564,0.00113551,0.00008569019],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261974,"about_ca_system_score_gemma":0.00617613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002771375,"about_ca_topic_score_gemma":0.001216155,"domain_scores_codex":[0.9928096,0.0009694341,0.003239079,0.0009221733,0.001211219,0.0008485281],"domain_scores_gemma":[0.9956825,0.0001473573,0.002034155,0.0007591002,0.001005015,0.000371905],"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":[0.0002024023,0.0002732787,0.0002323994,0.001276984,0.000106651,0.000001089789,0.1544288,0.8379427,0.0005081324,0.000436435,0.0001965527,0.004394603],"study_design_scores_gemma":[0.0005823635,0.000131984,0.001024174,0.0003535947,0.0001537156,2.490715e-7,0.04408103,0.9470556,0.000161489,0.00004895945,0.005786407,0.0006204456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6886209,0.001311864,0.3002213,0.0005716785,0.002947841,0.004213333,0.0001224542,0.00008355711,0.001907079],"genre_scores_gemma":[0.8570526,0.001275406,0.09518807,0.00009609937,0.0001704864,0.001437879,0.009930475,0.0001689328,0.03468005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2050332,"threshold_uncertainty_score":0.9995372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1256645317968989,"score_gpt":0.5052113754926123,"score_spread":0.3795468436957135,"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."}}