{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159033,0.0006720027,0.0008918033,0.001302257,0.0003307144,0.0007828216,0.00143671,0.0008823234,0.001153627],"category_scores_gemma":[0.003650733,0.0004394175,0.0004192339,0.0007950618,0.0003894215,0.002288318,0.0006043297,0.001223028,0.0005690666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005544334,"about_ca_system_score_gemma":0.0006512909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227343,"about_ca_topic_score_gemma":0.00111049,"domain_scores_codex":[0.9992663,0.00009685533,0.00005384861,0.0002037465,0.0003392533,0.00003996578],"domain_scores_gemma":[0.9986776,0.0003435196,0.0002081412,0.0001510861,0.000564268,0.00005544124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002035896,0.0001471967,0.00223575,0.0001422855,0.0000853112,0.00007443716,0.00009531504,0.04800289,0.06197172,0.008242748,0.002602561,0.8761963],"study_design_scores_gemma":[0.00003597714,0.00009427464,0.0008283551,0.00001069171,0.00003439327,0.0002064338,0.00001045767,0.9727719,0.01952383,0.001504797,0.004943291,0.00003552397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003194116,0.00009707441,0.9958985,0.0000313936,0.00005174365,0.00002144634,0.00001271848,0.0005169268,0.0001760582],"genre_scores_gemma":[0.095241,0.0002528436,0.9022352,0.00007937979,0.0001687891,0.0001382606,0.0001303025,0.00009614734,0.001658187],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00143671,"threshold_uncertainty_score":0.006129622,"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."}}