{"id":"W2119383750","doi":"10.1007/0-387-25551-6_10","title":"Duality-Based TCP Congestion Control with Error Analysis","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal; Group for Research in Decision Analysis; Institut National de la Recherche Scientifique","funders":"","keywords":"Network congestion; Computer science; Duality (order theory); Mathematical optimization; Bounded function; Utility maximization; Tracking error; Dual (grammatical number); Optimization problem; Maximization; Control (management); Algorithm; Mathematics; Computer network; Mathematical economics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003407876,0.0005395529,0.0008756714,0.0004718104,0.0001427832,0.0002442126,0.0007407099,0.0003676812,0.0004395232],"category_scores_gemma":[0.000006325577,0.0004270651,0.0004270428,0.0002694733,0.0001408065,0.0001756789,0.00004122917,0.0003882677,0.0001866721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008607032,"about_ca_system_score_gemma":0.0002644102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005275006,"about_ca_topic_score_gemma":0.0004063206,"domain_scores_codex":[0.9973773,0.00007203135,0.0005328273,0.0009326478,0.0007025903,0.0003825785],"domain_scores_gemma":[0.9976227,0.0002976583,0.0004205987,0.001096655,0.0003753812,0.0001870678],"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":[0.00009435604,0.00005972428,0.0002066153,0.00001888474,0.001708688,0.0001205378,0.00001097304,0.09892187,0.000001022277,0.8393098,0.01031026,0.04923731],"study_design_scores_gemma":[0.003451359,0.0003166529,0.0006359165,0.00009353977,0.0029531,0.00001172671,0.000002128143,0.8425514,0.000003220628,0.002377859,0.1462893,0.00131375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000009548862,0.0001590067,0.7124076,0.001848914,0.0001418657,0.0003286459,0.00002361577,0.0004986079,0.2845822],"genre_scores_gemma":[0.3530245,0.000006395248,0.009013471,0.002891171,0.0003315224,0.00005925763,0.0001670648,0.00005425793,0.6344523],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8369319,"threshold_uncertainty_score":0.9998181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048914256332257,"score_gpt":0.2057153823726026,"score_spread":0.1952262398092801,"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."}}