{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03064609,0.0007486349,0.001291692,0.003705746,0.002237467,0.009709742,0.001791685,0.004026408,0.01033446],"category_scores_gemma":[0.06127258,0.0009366826,0.001389167,0.004913006,0.007160738,0.01125985,0.008403003,0.009885282,0.00195477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01388974,"about_ca_system_score_gemma":0.01762581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008883346,"about_ca_topic_score_gemma":0.006817111,"domain_scores_codex":[0.9755839,0.01314481,0.003030466,0.002346345,0.0050079,0.0008864414],"domain_scores_gemma":[0.9385409,0.03761037,0.002271178,0.005405515,0.0128527,0.003319332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003424202,0.0001036911,0.002603271,0.008143686,0.0001964324,0.0001224385,0.00646613,0.004095472,0.0004492786,0.5162727,0.1001394,0.361065],"study_design_scores_gemma":[0.00002106055,0.000113998,0.001459481,0.01199995,0.00003749114,0.0001506562,0.002497147,0.0007032547,0.0002450322,0.04146025,0.9412725,0.000039145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008159733,0.7060413,0.02136615,0.2039888,0.01935991,0.0001480597,0.0004993738,0.0001885434,0.04024818],"genre_scores_gemma":[0.1846767,0.6469517,0.02544049,0.1006928,0.01439928,0.0006915179,0.001036088,0.000466363,0.02564508],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03064609,"threshold_uncertainty_score":0.1620739,"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."}}