{"id":"W2074717607","doi":"10.1002/nem.539","title":"DRED‐MP: Queue management with multiple levels of drop precedence","year":2004,"lang":"en","type":"article","venue":"International Journal of Network Management","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Active queue management; Computer science; Network packet; Queue; Computer network; Drop (telecommunication); Network congestion; Queue management system; Queueing theory; Priority queue; Distributed computing; 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":[0.0004946716,0.0001691243,0.0002321533,0.0002016221,0.00005573372,0.0001210722,0.001748013,0.00003244204,0.00002380287],"category_scores_gemma":[0.000006889569,0.0001390704,0.0001210472,0.0003131072,0.00005563198,0.0004477406,0.000301295,0.0001558305,0.00001253063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491403,"about_ca_system_score_gemma":0.00004519274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005896604,"about_ca_topic_score_gemma":0.00001829923,"domain_scores_codex":[0.9978197,0.00004966346,0.0006035052,0.0002421065,0.00102502,0.0002600272],"domain_scores_gemma":[0.9985268,0.00006975868,0.0005964733,0.0002995658,0.0004103931,0.0000970014],"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":[0.0001811053,0.0002062422,0.0006737577,0.00002059467,0.001009658,0.0005774339,0.0001534028,0.5046968,0.000008748626,0.1719492,0.001312431,0.3192106],"study_design_scores_gemma":[0.07227547,0.004812493,0.2193374,0.01163292,0.001240347,0.002384499,0.001401911,0.3555473,0.001100281,0.1479098,0.178798,0.003559615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008143843,0.0002837656,0.9818178,0.002318704,0.001538309,0.0002495275,0.000002233835,0.00003941979,0.005606369],"genre_scores_gemma":[0.9137276,0.0002315389,0.08480874,0.0003932863,0.0003803945,0.000009912049,8.92913e-7,0.00001023784,0.0004373753],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9055838,"threshold_uncertainty_score":0.5671126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009270980478158003,"score_gpt":0.2287294483232558,"score_spread":0.2194584678450978,"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."}}