{"id":"W2127671149","doi":"10.1109/pccc.2003.1203718","title":"Active queue management and global fairness objectives","year":2003,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Active queue management; Network topology; Computer science; Network congestion; Queue; Computer network; Fairness measure; Flow control (data); Network packet; Distributed computing; Throughput; Telecommunications","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":[0.00007557806,0.00007852131,0.0000748695,0.00001735647,0.00006872107,0.00007930663,0.0001676097,0.00002321196,0.00001867417],"category_scores_gemma":[0.000004638916,0.00006616097,0.00001938819,0.0001778467,0.00002727579,0.0002105013,0.00005669382,0.00003396908,0.00002208124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002671295,"about_ca_system_score_gemma":0.00001622967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005702308,"about_ca_topic_score_gemma":0.00001451103,"domain_scores_codex":[0.9993793,0.00005023943,0.00006769788,0.0002511498,0.00009997892,0.0001515992],"domain_scores_gemma":[0.999698,0.00002571359,0.00001949225,0.0001702209,0.00002594927,0.00006066202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000237711,0.00001334207,0.0002069757,0.000001410241,0.00001566649,0.000005373634,0.00003905416,0.00004203873,3.535885e-7,0.6665929,0.0002345431,0.332846],"study_design_scores_gemma":[0.009159626,0.0005469567,0.2464779,0.0001009934,0.000123178,0.0003105563,0.003843874,0.2446247,0.00083855,0.3389814,0.1525986,0.002393728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006105031,0.0001564154,0.8100031,0.0003522907,0.0001999066,0.0001316374,4.428707e-7,0.0001438644,0.1829073],"genre_scores_gemma":[0.9851665,0.00002166482,0.01283489,0.000330158,0.00001428268,0.00001567736,1.36175e-7,0.000001760572,0.001614968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9790614,"threshold_uncertainty_score":0.2697966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0052763652724466,"score_gpt":0.2112775351055421,"score_spread":0.2060011698330955,"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."}}