{"id":"W2972123927","doi":"10.1109/globecom38437.2019.9013475","title":"Intelligent Active Queue Management Using Explicit Congestion Notification","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Active queue management; Network congestion; Explicit Congestion Notification; Computer science; Computer network; Random early detection; Queue; Transport layer; Layer (electronics); Slow-start; Network packet","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":[0.001184664,0.0005973314,0.0006017786,0.0005072121,0.0004179061,0.001184804,0.001637017,0.0006233687,0.0008350664],"category_scores_gemma":[0.00271727,0.0002772475,0.000289084,0.0003170143,0.0004478249,0.001350281,0.0009218783,0.0009720172,0.0001887332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006873014,"about_ca_system_score_gemma":0.0009839358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003553586,"about_ca_topic_score_gemma":0.003661653,"domain_scores_codex":[0.9993694,0.0001342296,0.00004945991,0.0001477881,0.0002083633,0.00009071911],"domain_scores_gemma":[0.998603,0.0004834453,0.0002245199,0.0001828815,0.0003846946,0.0001213425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004677313,0.000621408,0.00312814,0.0001588554,0.0001131179,0.0001717957,0.0001891426,0.6804663,0.04372021,0.01165298,0.003787789,0.2555226],"study_design_scores_gemma":[0.0000193819,0.000035205,0.0001825435,0.000002670004,0.00001043345,0.00001161473,0.000003383309,0.9961686,0.002081196,0.001105714,0.0003718887,0.000007393155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07837806,0.0005606988,0.9143858,0.0003461208,0.0002269931,0.0001020821,0.00004537247,0.002630616,0.003324279],"genre_scores_gemma":[0.9501472,0.00012447,0.04793235,0.0001308601,0.00008101053,0.0000529746,0.00003685717,0.00003690592,0.001457373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003553586,"threshold_uncertainty_score":0.007065833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03821601991228505,"score_gpt":0.2718681435167886,"score_spread":0.2336521236045036,"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."}}