{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002781076,0.0001435103,0.0002336574,0.0001673312,0.0005224946,0.0000158812,0.0001104314,0.0002000352,0.00001384517],"category_scores_gemma":[0.00004938158,0.0001513368,0.00003359815,0.0005694054,0.00001092595,0.0002619046,0.00001068741,0.0004104217,0.00001626209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006857455,"about_ca_system_score_gemma":0.000131001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009737701,"about_ca_topic_score_gemma":0.0004733661,"domain_scores_codex":[0.9982316,0.0002892643,0.000745652,0.0003518836,0.0001837677,0.0001977683],"domain_scores_gemma":[0.9986708,0.0003375823,0.00008904339,0.0002866745,0.0004912575,0.0001246803],"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":[0.0000628827,0.00004547666,0.0006791516,0.0001344441,0.000006017145,1.229204e-7,0.003435481,0.9719999,0.00002666634,0.0003647146,4.692188e-7,0.02324468],"study_design_scores_gemma":[0.0006817323,0.0001089728,0.000511556,0.00009154536,0.00001112705,1.283708e-7,0.0002240284,0.9978991,0.000005163862,0.0003092798,0.00003583908,0.0001215992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1328395,0.00002648446,0.8571788,0.009023029,0.00009478753,0.0007266663,0.00001676791,0.00008333378,0.00001060369],"genre_scores_gemma":[0.9567672,0.00003074537,0.03977281,0.003138382,0.0001134945,0.00007438474,0.00007683064,0.00002168719,0.000004448128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8239277,"threshold_uncertainty_score":0.6171335,"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."}}