{"id":"W2080176917","doi":"10.1007/s11134-006-7634-4","title":"Decay rate for a PH/M/2 queue with shortest queue discipline","year":2006,"lang":"en","type":"article","venue":"Queueing Systems","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Japan Society for the Promotion of Science","keywords":"Burke's theorem; Fork–join queue; Queue; Mathematics; Bulk queue; Multilevel queue; Combinatorics; Discrete mathematics; Applied mathematics; Computer science; Queue management system; Queueing theory; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007212178,0.001107885,0.001546021,0.002659453,0.001773188,0.003197816,0.003449007,0.002161011,0.004716802],"category_scores_gemma":[0.03906041,0.0008763123,0.0008625712,0.001500478,0.002595244,0.004268394,0.002603577,0.003243197,0.0008455269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004843545,"about_ca_system_score_gemma":0.004423684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003402,"about_ca_topic_score_gemma":0.003520011,"domain_scores_codex":[0.9983655,0.0003594048,0.00007353569,0.0002391699,0.0004700285,0.0004924846],"domain_scores_gemma":[0.9798922,0.01188446,0.001749419,0.001070956,0.003806633,0.001596373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001221605,0.0002711129,0.005972259,0.0004600504,0.00009423023,0.0004965212,0.001516378,0.2069994,0.02379135,0.7284647,0.008261473,0.02245086],"study_design_scores_gemma":[0.00006290722,0.00007572401,0.0006326553,0.00004006012,0.00004900252,0.0001744469,0.0001395808,0.9485366,0.001812311,0.04782113,0.0005900123,0.00006554073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3029046,0.001504113,0.678625,0.003651907,0.0003573095,0.0002359173,0.0005917093,0.001366341,0.01076309],"genre_scores_gemma":[0.9584776,0.0007878263,0.02885818,0.000412099,0.0001781159,0.0001768443,0.0002702377,0.0002976339,0.01054159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01003402,"threshold_uncertainty_score":0.03814209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009475817708492512,"score_gpt":0.2234021209784268,"score_spread":0.2139263032699343,"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."}}