{"id":"W2126491814","doi":"10.1109/icme.2000.869663","title":"TBLB algorithm for servicing real-time multimedia traffic streams","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Token bucket; Computer science; Leaky bucket; Quality of service; Jitter; Computer network; Real-time computing; Network packet; Traffic policing; Bandwidth (computing); Security token; Traffic shaping; Algorithm; Network traffic control","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":[0.0001655091,0.0001690345,0.0002030244,0.00006147197,0.0001384935,0.0001236383,0.0005778322,0.00007876798,0.0003425585],"category_scores_gemma":[0.00001229069,0.0001474445,0.0001026451,0.0002406234,0.00002383082,0.0002907499,0.00005339218,0.00007771418,0.0004665862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002680216,"about_ca_system_score_gemma":0.00001732903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001546626,"about_ca_topic_score_gemma":0.00001257803,"domain_scores_codex":[0.9987218,0.00003394032,0.0002353844,0.0004135492,0.0001929195,0.000402437],"domain_scores_gemma":[0.9989507,0.0003327756,0.00006105011,0.0004068937,0.00009233581,0.0001562601],"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":[0.000001196798,0.0000548086,0.000002045952,0.000002690097,0.00001580158,0.000004309011,0.0001924922,0.001218295,0.00004124016,0.0009822886,0.008399714,0.9890851],"study_design_scores_gemma":[0.0007148429,0.00008430454,0.00001174309,0.00001311077,0.00001028462,0.000007957315,0.00001781843,0.9945756,0.00004749755,0.00005387761,0.004269206,0.0001937383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003710662,0.0001320031,0.9858034,0.001722181,0.0004704561,0.0004593517,0.000005860693,0.001026216,0.006669933],"genre_scores_gemma":[0.1796747,0.0000977938,0.797357,0.001069324,0.0007500766,0.0001279897,0.00001057742,0.00003436763,0.02087811],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9933573,"threshold_uncertainty_score":0.601261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188140661424161,"score_gpt":0.2117701026067555,"score_spread":0.1998886959925139,"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."}}