{"id":"W2041478969","doi":"10.1145/967900.967980","title":"RED with Dynamic Thresholds for improved fairness","year":2004,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Random early detection; Computer science; Router; Bandwidth (computing); Queue; Computer network; Active queue management; Fair share; Link (geometry); Distributed computing; Network packet; Network congestion; Economics","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":[0.00008500587,0.00009624366,0.0001067325,0.00002861734,0.00008357914,0.00008662411,0.0003997231,0.00003855025,0.000005573663],"category_scores_gemma":[0.000003996072,0.00006822086,0.00003852266,0.0001543686,0.00002456496,0.0002182906,0.00003296457,0.00004861249,0.000008322782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003121498,"about_ca_system_score_gemma":0.00008950115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007342567,"about_ca_topic_score_gemma":0.0001325385,"domain_scores_codex":[0.9993215,0.000005862277,0.0001027053,0.0002706529,0.00007830951,0.0002209976],"domain_scores_gemma":[0.9994764,0.00003161697,0.00003417145,0.0003189464,0.00007542735,0.00006344984],"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":[0.0000827281,0.00008608639,0.00003845491,0.000008633264,0.00004059229,0.000005598145,0.0001175759,0.009981791,0.0005082603,0.5204988,0.0004538351,0.4681776],"study_design_scores_gemma":[0.004294965,0.0004494306,0.0003361303,0.00002014101,0.00001297327,0.00002743028,0.00002538306,0.970414,0.0002452885,0.02008952,0.003775414,0.0003092785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003699185,0.00003099594,0.9866936,0.007249476,0.0001633715,0.0003168355,8.27896e-7,0.0003176656,0.001528073],"genre_scores_gemma":[0.90378,0.000002508123,0.09448791,0.0005937979,0.00003462566,0.00006926837,0.000001956512,0.000007064541,0.001022866],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9604322,"threshold_uncertainty_score":0.2781966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00523024955688179,"score_gpt":0.2091188075231834,"score_spread":0.2038885579663016,"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."}}