{"id":"W2783292131","doi":"10.5555/3242181.3242205","title":"Five decades of healthcare simulation","year":2017,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Health care; Theme (computing); Dozen; Computer science; Data science; Engineering ethics; Public relations; Operations research; Engineering; World Wide Web; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004906317,0.0001344079,0.0002586564,0.0001057395,0.001505519,0.00005369929,0.000270337,0.0002253554,0.0005606922],"category_scores_gemma":[0.001087173,0.0001263071,0.00005300522,0.00006883044,0.00008116897,0.0004890747,0.00009219081,0.0003161468,0.00009531186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007970433,"about_ca_system_score_gemma":0.0003734754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007266986,"about_ca_topic_score_gemma":0.0005923645,"domain_scores_codex":[0.9982147,0.0003138874,0.000705792,0.0002726817,0.0002278401,0.0002651055],"domain_scores_gemma":[0.9966137,0.0005061246,0.0006421551,0.0006637431,0.001459154,0.0001150682],"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":[0.0001176059,0.00004648905,0.1366331,0.0002688793,0.00002225844,0.000001105717,0.009434071,0.8209413,0.0001141683,0.01676447,0.00008587119,0.01557062],"study_design_scores_gemma":[0.00055679,0.00006357116,0.0683892,0.0003532583,0.000009003004,1.04266e-7,0.0006845295,0.926906,0.00004143238,0.000713295,0.002156756,0.0001259982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4694243,0.00004710064,0.5109894,0.008984145,0.001186365,0.001342215,0.00007539351,0.0001253976,0.007825621],"genre_scores_gemma":[0.9942307,0.00001377563,0.00353777,0.0003722333,0.0001936064,0.00003108241,0.00005489122,0.00001776632,0.001548216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5248063,"threshold_uncertainty_score":0.9997944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1853609769837887,"score_gpt":0.5085374150711822,"score_spread":0.3231764380873935,"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."}}