{"id":"W2126908489","doi":"10.1109/glocom.1996.591933","title":"Performance analysis of per-VC queueing","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Queueing theory; FIFO (computing and electronics); Computer science; Computer network; Layered queueing network; Queue; Schedule; Real-time computing; Operating system","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":[0.003913156,0.001095541,0.0009695058,0.001592017,0.0007155113,0.001947206,0.001684926,0.0008456229,0.004288925],"category_scores_gemma":[0.01645614,0.000304462,0.0004046832,0.00155876,0.0007737151,0.001685223,0.0009062388,0.0009708548,0.000654082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003725034,"about_ca_system_score_gemma":0.001900451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006086276,"about_ca_topic_score_gemma":0.002408504,"domain_scores_codex":[0.9958859,0.0009567777,0.00008921282,0.0003794962,0.001733771,0.0009549281],"domain_scores_gemma":[0.9884135,0.006530802,0.000691234,0.001176995,0.00283287,0.0003547215],"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":[0.0006270381,0.0001571783,0.003177705,0.0001140495,0.0000763332,0.0001522762,0.0001176156,0.8886074,0.008567947,0.05663474,0.002438162,0.03932947],"study_design_scores_gemma":[0.000004936031,0.0000553424,0.0003527229,0.000005076139,0.000008825992,0.00004502778,0.00001361575,0.9952661,0.00120904,0.00276436,0.0002662317,0.000008774528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3986821,0.00515743,0.5313174,0.001204116,0.0003649864,0.0002064442,0.0005177201,0.002298522,0.06025125],"genre_scores_gemma":[0.9920141,0.0003412974,0.005918848,0.00006019233,0.00007536242,0.00002252196,0.0001097495,0.00006146714,0.001396459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006086276,"threshold_uncertainty_score":0.02702719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306614564485828,"score_gpt":0.19507995638644,"score_spread":0.1820138107415817,"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."}}