{"id":"W2022311615","doi":"10.5539/cis.v4n2p21","title":"Simulation Model of Multiple Queueing Parameters: A Case of Vehicle Maintenance System","year":2011,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Queueing theory; Mean value analysis; Discrete event simulation; Set (abstract data type); Simulation software; Simulation modeling; Simulation; Real-time computing; Layered queueing network; Software; Operating system; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002199806,0.00004955316,0.0001082965,0.0001696561,0.00003500625,0.00001527178,0.00008238805,0.00001796248,6.067842e-7],"category_scores_gemma":[0.000007941858,0.0000444117,0.00002272406,0.0002825374,0.00005903619,0.002086078,0.00001398556,0.00002371588,0.000001315184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000205131,"about_ca_system_score_gemma":0.00001114737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258062,"about_ca_topic_score_gemma":0.000004515511,"domain_scores_codex":[0.999425,0.000003527807,0.0003263568,0.00005131034,0.0001113085,0.00008252799],"domain_scores_gemma":[0.9995914,0.00002192187,0.00008543944,0.000122497,0.0001435698,0.00003514765],"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":[0.000001845606,0.000002229395,0.001325408,0.0001809698,0.000004876057,7.930678e-7,0.004647244,0.9903026,0.0003874076,0.0005934678,0.000001273041,0.002551886],"study_design_scores_gemma":[0.000106992,0.00001254729,0.001389159,0.00005460794,0.000005425978,0.000007743833,0.0002059138,0.9960275,0.002135559,0.000005351044,0.000002404066,0.00004677704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4986199,0.000004479106,0.5010533,2.180771e-7,0.00003028232,0.00004000194,0.000002886648,0.0000226328,0.0002263353],"genre_scores_gemma":[0.9839128,0.000001145902,0.01607434,0.000004433517,0.000002710178,0.000001630249,6.109627e-7,0.000001845515,4.957752e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4852929,"threshold_uncertainty_score":0.1811057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659158040376235,"score_gpt":0.2014383926814471,"score_spread":0.1748468122776848,"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."}}