{"id":"W3117918501","doi":"10.1145/3427753","title":"Application of Simulation in Healthcare Service Operations","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Computer Simulation","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Health care; Popularity; Computer science; Healthcare service; Service delivery framework; Management science; Domain (mathematical analysis); Service (business); Healthcare delivery; Process management; Knowledge management; Risk analysis (engineering); Operations research; Data science; Medicine; Engineering; Business; Psychology","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":[0.003668964,0.0007497412,0.000760733,0.001880968,0.0009074572,0.003097767,0.001258511,0.001778051,0.005086017],"category_scores_gemma":[0.01468406,0.0004156572,0.001020039,0.002342147,0.001381341,0.001822954,0.002456162,0.001444075,0.0005800619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002212499,"about_ca_system_score_gemma":0.00371943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01059785,"about_ca_topic_score_gemma":0.006244753,"domain_scores_codex":[0.9949502,0.003990898,0.0002257549,0.00022783,0.000461304,0.0001440724],"domain_scores_gemma":[0.9888297,0.009737494,0.00034158,0.0004210727,0.0005028255,0.0001672541],"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":[0.00009100095,0.0001300263,0.005148058,0.000492,0.0001230813,0.0002063585,0.0009068716,0.7229123,0.0006658931,0.1909313,0.002586674,0.07580641],"study_design_scores_gemma":[0.00003577466,0.0001000568,0.0007654116,0.0003849328,0.00003997321,0.00009069736,0.00059321,0.8648728,0.0007190011,0.1045312,0.02782429,0.00004248683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04386061,0.007271868,0.8553194,0.008124084,0.0005508712,0.000446008,0.0004110604,0.0006601492,0.08335578],"genre_scores_gemma":[0.7925812,0.01210352,0.189193,0.0005782409,0.0003327813,0.000462347,0.0003402721,0.0001145886,0.004294033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01059785,"threshold_uncertainty_score":0.02107233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061933032634809,"score_gpt":0.405444636926345,"score_spread":0.2992513336628641,"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."}}