{"id":"W2149467419","doi":"10.1109/iccs.2008.4737187","title":"Adaptive congestion avoidance for assured QoS","year":2008,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Quality of service; Computer science; Network congestion; Computer network; Router; Implementation; Random early detection; Service (business); Distributed computing; Active queue management","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":[0.0001391022,0.00009573744,0.0001227462,0.00003254199,0.000176704,0.00002912886,0.000332154,0.00005097389,0.00001465861],"category_scores_gemma":[0.00003203846,0.00008492285,0.00006002608,0.0001408729,0.00004109083,0.0002706849,0.00003001097,0.00006604181,0.00006730338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001947094,"about_ca_system_score_gemma":0.00006355526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004809692,"about_ca_topic_score_gemma":0.000007660895,"domain_scores_codex":[0.999202,0.0000344341,0.0001373219,0.0002760859,0.0001407318,0.0002094007],"domain_scores_gemma":[0.9992854,0.000196881,0.00005126913,0.0002476063,0.0001463291,0.00007253198],"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":[0.00006223841,0.00007733479,0.0002316483,0.000003891713,0.00003941523,0.00001459431,0.0002662897,0.003151397,0.0001378779,0.5119694,0.05675064,0.4272952],"study_design_scores_gemma":[0.001319283,0.0002404686,0.002191033,0.00001091556,0.000008051491,0.0000426519,0.00001442115,0.9416659,0.00031893,0.001751268,0.05217789,0.0002591305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001510644,0.0001634213,0.9904854,0.001568925,0.0006174773,0.0002943558,0.000001554532,0.0003349333,0.005023337],"genre_scores_gemma":[0.931182,0.00001707165,0.06320796,0.0007086954,0.0002552659,0.00009253013,0.000001469933,0.00000560107,0.004529462],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9385145,"threshold_uncertainty_score":0.3463053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972163205987434,"score_gpt":0.2203222805809596,"score_spread":0.1906006485210852,"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."}}