{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007152553,0.0006460096,0.0007277258,0.0005823006,0.0008495945,0.001166665,0.001354774,0.001925076,0.003199731],"category_scores_gemma":[0.001883232,0.0003746749,0.0009233694,0.0006228043,0.0005999909,0.0009755131,0.0007572839,0.001169938,0.0002768628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263133,"about_ca_system_score_gemma":0.001136805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02609334,"about_ca_topic_score_gemma":0.009236176,"domain_scores_codex":[0.999451,0.0001778832,0.00003209527,0.0001042795,0.00009829503,0.0001365151],"domain_scores_gemma":[0.999063,0.0005205298,0.0001042064,0.00004981895,0.0002019285,0.00006061067],"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":[0.00004899544,0.00003552057,0.001388561,0.00003112201,0.00001441154,0.0002646426,0.00009543083,0.987706,0.0008117474,0.007403084,0.0003218227,0.001878517],"study_design_scores_gemma":[0.00001045919,0.00001983734,0.0001893881,0.000003013676,0.000007293525,0.00002816613,0.00002060403,0.9982602,0.0001821275,0.001014614,0.0002589153,0.000005390694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4778273,0.0008238911,0.4926062,0.001199971,0.0002084836,0.0002863502,0.0009626114,0.0006851317,0.0254001],"genre_scores_gemma":[0.9787708,0.0002944827,0.01391458,0.00003866867,0.00003620591,0.0001497974,0.0001867665,0.00002418237,0.006584617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02609334,"threshold_uncertainty_score":0.05188292,"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."}}