{"id":"W2113042583","doi":"10.1109/icc.1995.524541","title":"Bursty traffic control using dynamic token allocation method","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Ottawa","funders":"","keywords":"Token bucket; Security token; Computer science; Leaky bucket; Computer network; Scheme (mathematics); Class (philosophy); Token passing; Simple (philosophy); Service (business); Quality of service; Mathematics; Artificial intelligence","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":[0.0003156665,0.0001424454,0.0001792039,0.00007723207,0.0001331899,0.0001330949,0.0004955934,0.00007114407,0.0001761163],"category_scores_gemma":[0.00001648113,0.0001269533,0.00007901888,0.0003032222,0.0000222711,0.0003793032,0.00003255207,0.0001131204,0.0001345491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006114204,"about_ca_system_score_gemma":0.00002263951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008572142,"about_ca_topic_score_gemma":0.00001313679,"domain_scores_codex":[0.9987456,0.0001453975,0.0002347512,0.0003591455,0.0002184621,0.0002966009],"domain_scores_gemma":[0.9991807,0.0001533464,0.0000744717,0.0004042918,0.00008100338,0.0001061877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003097151,0.00005077443,0.00001100578,0.000002334616,0.00002560214,0.000004887498,0.0001334952,0.1091472,0.0002912506,0.01213314,0.0005566323,0.8776406],"study_design_scores_gemma":[0.0007571321,0.00003262379,0.00007966354,0.000006097277,0.00001778591,0.00002677768,0.00001175807,0.9970131,0.00001747913,0.0001293219,0.001744833,0.0001634494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006028036,0.0003559139,0.9880309,0.002795035,0.0003451172,0.0002056077,6.623094e-7,0.0004217144,0.001817049],"genre_scores_gemma":[0.8845798,0.00001434368,0.1131462,0.001000438,0.00007194134,0.0000119939,7.416517e-7,0.00000814877,0.001166384],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8878659,"threshold_uncertainty_score":0.5177005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843543739068288,"score_gpt":0.2557946700775482,"score_spread":0.2373592326868654,"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."}}