{"id":"W1532358800","doi":"","title":"Active congestion control using available bandwidth-based congestion detection","year":2005,"lang":"en","type":"article","venue":"International Conference on Information and Automation","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Network congestion; Computer network; Computer science; Router; Network traffic control; Flow control (data); Network packet; Bandwidth (computing); Bandwidth management; Packet loss; Explicit Congestion Notification; Real-time computing; Slow-start","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":[0.0003266723,0.000199868,0.0001608843,0.0003639404,0.00023131,0.0005638408,0.0002776222,0.0001349991,0.000232637],"category_scores_gemma":[0.0001337231,0.0002002666,0.00005126776,0.000186525,0.000052854,0.003946657,0.00002811157,0.0001859092,0.0003516515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196922,"about_ca_system_score_gemma":0.0001801631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002106841,"about_ca_topic_score_gemma":0.00001206713,"domain_scores_codex":[0.9985271,0.0000907179,0.0004718586,0.000242991,0.0004689782,0.000198368],"domain_scores_gemma":[0.9986051,0.0001021049,0.0003846624,0.0001965339,0.0005845513,0.0001270646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001205337,0.00004562451,0.00005253946,0.000008589959,0.00003052157,5.543115e-7,0.0001857095,0.02726065,0.0009344202,0.07091706,0.0003731474,0.9000707],"study_design_scores_gemma":[0.001875887,0.00009796344,0.001976384,0.00006374143,0.00001326356,0.00001469042,0.00003974867,0.9848268,0.001193502,0.0003588024,0.009324685,0.0002145078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02654712,0.00001683777,0.951905,0.007241221,0.0008537083,0.0004434205,0.00002353359,0.0005023543,0.01246686],"genre_scores_gemma":[0.9936884,0.00002468986,0.003840552,0.002078625,0.0001466387,0.00005504673,0.00005886805,0.000005988934,0.000101214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9671413,"threshold_uncertainty_score":0.8166634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922153078344339,"score_gpt":0.2466786059403796,"score_spread":0.2274570751569362,"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."}}