{"id":"W2135952349","doi":"10.1109/glocom.2003.1258958","title":"A new traffic rate estimation and monitoring algorithm for the QoS-enabled Internet","year":2004,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"EWMA chart; Estimator; Quality of service; Computer science; Real-time computing; The Internet; Algorithm; Traffic flow (computer networking); Sliding window protocol; Internet traffic; Computer network; Window (computing); Mathematics; Statistics","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":[0.000211954,0.00008845956,0.00008375627,0.000025843,0.0001000701,0.0002484986,0.0002805432,0.00003130309,0.000004358365],"category_scores_gemma":[0.00001379173,0.00005248392,0.00003237723,0.0001163765,0.00001442806,0.0002660415,0.00004212658,0.00006216637,0.00001052804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002223069,"about_ca_system_score_gemma":0.00006185579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002913002,"about_ca_topic_score_gemma":0.000007946408,"domain_scores_codex":[0.999414,0.00001510545,0.0001222885,0.0002008508,0.00008193943,0.000165868],"domain_scores_gemma":[0.9995036,0.0001871152,0.00003677682,0.0001682818,0.00003588121,0.00006836762],"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":[0.000003008603,0.000005811383,0.000001981878,0.000001398231,0.00001220638,8.134326e-7,0.0001942683,0.03201439,0.000006665186,0.009646951,0.000507845,0.9576046],"study_design_scores_gemma":[0.0009924069,0.00005520453,0.0001285824,0.00001637628,0.00001087496,0.000007699266,0.00002355039,0.9953387,0.0002075606,0.001362017,0.001775969,0.00008099626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001867099,0.0002573831,0.9931326,0.003535317,0.0007044722,0.0002692127,2.21963e-7,0.0001796813,0.00005399839],"genre_scores_gemma":[0.5671428,0.00002910424,0.4297938,0.0001996964,0.0004125292,0.00004746952,5.947273e-7,0.000006630907,0.002367304],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9633244,"threshold_uncertainty_score":0.2396278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187663074543566,"score_gpt":0.2318128347699879,"score_spread":0.2199362040245523,"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."}}