{"id":"W2154663660","doi":"10.1108/14637151211253747","title":"Integration of value stream mapping and agent‐based modeling for OR improvement","year":2012,"lang":"en","type":"article","venue":"Business Process Management Journal","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Value stream mapping; Computer science; Schedule; Inefficiency; Health care; Process management; Task (project management); Process (computing); Operations management; Systems engineering; Business; Lean manufacturing","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":[0.001314319,0.0001343853,0.0001997602,0.0002497961,0.0008416731,0.00003849172,0.00009519164,0.00008370098,0.00005629575],"category_scores_gemma":[0.0001659088,0.00009987164,0.00002943735,0.0003411153,0.00001464882,0.0004542289,0.00003560164,0.0001918818,0.000001633248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115171,"about_ca_system_score_gemma":0.0002348721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000287042,"about_ca_topic_score_gemma":0.00001083948,"domain_scores_codex":[0.9984668,0.0000850236,0.0007026801,0.0001462579,0.0002311771,0.0003680911],"domain_scores_gemma":[0.99841,0.00006320038,0.0003640688,0.0001164487,0.000929926,0.0001163906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001262269,0.001323081,0.01857413,0.02308529,0.0003524908,0.000005913731,0.01592712,0.4505984,0.002095819,0.02283965,0.0007340313,0.4632018],"study_design_scores_gemma":[0.002341554,0.0001099286,0.002895572,0.001585014,0.0001090964,0.000003263927,0.01267244,0.9779064,0.00009850292,0.001311944,0.0007315969,0.0002346602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1718178,0.0001250784,0.825101,0.00100159,0.0004652958,0.00107479,0.000006410293,0.00002386422,0.0003842027],"genre_scores_gemma":[0.9349158,0.000249605,0.06353217,0.0003936413,0.0003214003,0.0002321318,0.00003749903,0.00002390969,0.000293887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7630979,"threshold_uncertainty_score":0.6473554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1403373451012832,"score_gpt":0.4295181270994166,"score_spread":0.2891807819981335,"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."}}