{"id":"W2006165916","doi":"10.1016/j.peva.2011.12.001","title":"Computing system-time and system-length distributions for MAP/D/1 queue using distributional Little’s law","year":2012,"lang":"en","type":"article","venue":"Performance Evaluation","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"Council of Scientific and Industrial Research, India","keywords":"Laplace transform; Computation; Queue; Computer science; Applied mathematics; Queueing theory; Bulk queue; Mathematics; Algorithm; Mathematical optimization; Mathematical analysis; Computer network","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":[0.004644795,0.0005549066,0.0006927087,0.001866774,0.0009361329,0.001621612,0.001755979,0.0006941506,0.002205512],"category_scores_gemma":[0.0230284,0.000578477,0.0006767836,0.001352813,0.0008997328,0.002888146,0.001190517,0.001316465,0.0003402412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002885355,"about_ca_system_score_gemma":0.001913046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01577984,"about_ca_topic_score_gemma":0.01015311,"domain_scores_codex":[0.9992068,0.0002453775,0.00003909048,0.0001310408,0.0002613545,0.0001163551],"domain_scores_gemma":[0.9925903,0.005170561,0.0003653179,0.0005217266,0.0009679915,0.0003840632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003037687,0.0001524235,0.009085471,0.0000601899,0.00004090211,0.00009569232,0.000183119,0.8974936,0.002676648,0.05201794,0.001061981,0.03682837],"study_design_scores_gemma":[0.000002562392,0.000005784349,0.0001846284,9.094527e-7,0.000001312811,0.000003799917,0.000006748448,0.9964135,0.000233554,0.00311676,0.00002838776,0.000002041294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1920306,0.0001301939,0.8050542,0.000224383,0.00003157379,0.00004423541,0.00009129987,0.001035724,0.001357737],"genre_scores_gemma":[0.9003974,0.0001058712,0.09800328,0.0000562419,0.00004473685,0.00006217206,0.0002179417,0.0001365559,0.0009758375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01577984,"threshold_uncertainty_score":0.031376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793574997136396,"score_gpt":0.2786795499097621,"score_spread":0.2507437999383981,"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."}}