{"id":"W1986416621","doi":"10.5539/mas.v2n5p157","title":"Steady-state Analysis of the GI/M/1 Queue with Multiple Vacations and Set-up Time","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Queue; Set (abstract data type); Computer science; Burke's theorem; Queueing theory; Decomposition; State (computer science); Steady state (chemistry); Mathematics; Algorithm; Queue management system; Computer network; Fork–join queue","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":[0.000523743,0.0001211928,0.0002086734,0.0003962007,0.000438956,0.0001332638,0.0004861128,0.00001818667,0.00002145333],"category_scores_gemma":[0.00005824668,0.00008131152,0.00004977261,0.003644679,0.0004278522,0.0005367991,0.000131547,0.00007838669,0.0000160233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002454331,"about_ca_system_score_gemma":0.00002643606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005114051,"about_ca_topic_score_gemma":0.0001116681,"domain_scores_codex":[0.9988606,0.000006678032,0.0001763749,0.0003647248,0.0003679002,0.0002237344],"domain_scores_gemma":[0.9991081,0.00004710646,0.0002263078,0.0004751873,0.0001274283,0.00001582686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001637305,0.0001381336,0.0130869,0.00003636157,0.0003334384,0.000001594223,0.002673508,0.4278274,0.4545651,0.07746571,0.0000725811,0.02363557],"study_design_scores_gemma":[0.000207455,0.000003849548,0.02289815,0.000008580233,0.0004469111,2.633954e-7,0.0001589174,0.9518593,0.001145645,0.02296004,0.0001483286,0.0001625514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9049408,0.00001385312,0.08707453,0.0003973474,0.00001827088,0.0002161662,0.000005063219,0.00007007526,0.007263926],"genre_scores_gemma":[0.9985408,9.244077e-7,0.000476786,0.0005055209,0.00001924612,0.000006864986,0.000004152494,0.000006437204,0.000439296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5240319,"threshold_uncertainty_score":0.3376139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009684935043730504,"score_gpt":0.2197589685055543,"score_spread":0.2100740334618238,"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."}}