{"id":"W2029358090","doi":"10.1007/s10288-008-0088-2","title":"Analysis of stationary discrete-time GI/D-MSP/1 queue with finite and infinite buffers","year":2008,"lang":"en","type":"article","venue":"4OR","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":"","keywords":"Markovian arrival process; Markov chain; Discrete time and continuous time; Queue; Computer science; Epoch (astronomy); Queueing theory; Renewal theory; Applied mathematics; Markov process; Bulk queue; Mathematics; Mathematical optimization; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001631018,0.0001456734,0.0003352836,0.000627196,0.0001477097,0.0000306987,0.0001145919,0.00003475326,0.000405974],"category_scores_gemma":[0.0001269466,0.0001199994,0.00008976056,0.001600136,0.0001769056,0.0006951517,0.00006951026,0.00006952158,0.00005052906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001123281,"about_ca_system_score_gemma":0.0000121929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000171409,"about_ca_topic_score_gemma":0.00006208266,"domain_scores_codex":[0.9991444,0.00001597823,0.0002323751,0.0002418336,0.0002052329,0.0001601994],"domain_scores_gemma":[0.9991939,0.0001737953,0.0002475286,0.0002413941,0.0001289912,0.00001436113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001066527,0.0002715604,0.6598608,0.0003244735,0.006266734,0.0001758953,0.001120324,0.2967065,0.001575292,0.02507231,0.0008503327,0.006709205],"study_design_scores_gemma":[0.002213778,0.0001110694,0.3466099,0.0001466341,0.008773718,0.000007810425,0.0009735983,0.6120622,0.0002121381,0.00803138,0.01947117,0.001386666],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856413,0.00008367349,0.008134868,0.0002548009,0.00001772452,0.0001114596,0.00002279986,0.00008560127,0.005647798],"genre_scores_gemma":[0.9973676,0.00001978074,0.0009323611,0.0004331149,0.00007457245,0.000008035579,0.000154246,0.00001941745,0.0009909366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3153557,"threshold_uncertainty_score":0.4893434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00906742964980874,"score_gpt":0.2118071467518994,"score_spread":0.2027397171020907,"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."}}