{"id":"W4232643876","doi":"10.1109/infocom.2007.74","title":"On the Performance of Primal/Dual Schemes for Congestion Control in Networks with Dynamic Flows","year":2008,"lang":"en","type":"article","venue":"2008 Proceedings IEEE INFOCOM - The 27th Conference on Computer Communications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Mathematical optimization; FIFO (computing and electronics); Queueing theory; Stability (learning theory); Dual (grammatical number); Maximization; Utility maximization; Network congestion; Flow control (data); Class (philosophy); Function (biology); Mathematics; Mathematical economics; Network packet; Computer network","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":[0.0007008463,0.0003256796,0.0003889946,0.0001578395,0.0007734805,0.0001581877,0.003134364,0.0001176842,0.000005588784],"category_scores_gemma":[0.00003718225,0.0002044101,0.00009727057,0.0006197238,0.0005344748,0.0004149874,0.0002099915,0.0006905497,0.00001066104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007579706,"about_ca_system_score_gemma":0.0002334482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001002746,"about_ca_topic_score_gemma":0.00003296825,"domain_scores_codex":[0.9980997,0.0001052769,0.0005777247,0.0003931538,0.0003847263,0.0004394061],"domain_scores_gemma":[0.9961324,0.001355521,0.0004332343,0.001319666,0.0006798473,0.00007937792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000594539,0.0006917152,0.002118273,0.0000434653,0.0001873539,0.000002226134,0.002452333,0.08613274,0.000134615,0.7795422,0.003433878,0.1246667],"study_design_scores_gemma":[0.001498738,0.0007361604,0.002928081,0.0002611841,0.00001801488,0.00003368302,0.0000325918,0.9922656,0.00003120094,0.0004322703,0.001510805,0.0002516005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3563911,0.0001825316,0.6222031,0.01646917,0.0003353594,0.002850243,0.00001126461,0.0002611387,0.001296043],"genre_scores_gemma":[0.9843339,0.0003473951,0.01297421,0.001512085,0.00007426457,0.0006764124,0.000006273063,0.00002005279,0.00005542061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9061329,"threshold_uncertainty_score":0.8335603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742320356552105,"score_gpt":0.235608443829142,"score_spread":0.208185240263621,"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."}}