{"id":"W2114202723","doi":"10.1260/2040-2295.5.3.347","title":"Discrete Event Simulation of Patient Admissions to a Neurovascular Unit","year":2014,"lang":"en","type":"article","venue":"Journal of Healthcare Engineering","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Krembil Foundation","keywords":"Neurovascular bundle; Medicine; Neurology; Stroke (engine); Neurosurgery; Unit (ring theory); Emergency medicine; Medical emergency; Discrete event simulation; Surgery; Simulation; Computer science; Psychology; Engineering; Psychiatry; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.00146874,0.0007860958,0.0008334181,0.0006610237,0.0004886991,0.001215399,0.00131278,0.00157693,0.004568132],"category_scores_gemma":[0.006557574,0.0005149269,0.0009587648,0.0007679291,0.0007762116,0.0004708174,0.0008778764,0.001691026,0.0002915612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836655,"about_ca_system_score_gemma":0.002287342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05738445,"about_ca_topic_score_gemma":0.02553342,"domain_scores_codex":[0.9992499,0.0003191247,0.00004193133,0.0001101471,0.0000999627,0.0001790057],"domain_scores_gemma":[0.9904678,0.007308058,0.0005774832,0.0002414519,0.0007391865,0.0006659843],"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":[0.0001244882,0.00007025481,0.002658543,0.00001090485,0.00001685443,0.0000378198,0.00002196393,0.9955311,0.00007287879,0.000837657,0.0001684927,0.0004489352],"study_design_scores_gemma":[0.00004336756,0.00004293362,0.0005188707,0.000002432404,0.00000542177,0.000004749272,0.00002948528,0.9988081,0.00006483778,0.000364798,0.0001094189,0.0000055317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94879,0.0001365332,0.03739474,0.0009464379,0.000146227,0.0002408219,0.002958184,0.0002745697,0.009112444],"genre_scores_gemma":[0.9908996,0.00006554863,0.006355908,0.00006573047,0.00001359476,0.0001511101,0.0009346069,0.00001015677,0.001503767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05738445,"threshold_uncertainty_score":0.1141009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161063535752166,"score_gpt":0.3901190682712001,"score_spread":0.3585084329136784,"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."}}