{"id":"W2138999737","doi":"10.1109/icc.2011.5963498","title":"Stable Queue Management for Supporting TCP Flows over Wireless Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Victoria","funders":"","keywords":"Active queue management; Network congestion; Wireless network; Computer science; Computer network; Wireless; Radio resource management; Network packet; Packet loss; Queue; 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":[0.0003763844,0.000136399,0.0001559613,0.00004556259,0.0001305352,0.0000961944,0.0005867665,0.00005457344,0.0002284711],"category_scores_gemma":[0.000002991971,0.0001197793,0.00008215984,0.0001753345,0.00001397662,0.0003101583,0.0001505728,0.00007419845,0.00002793889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002141875,"about_ca_system_score_gemma":0.00001808746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002772853,"about_ca_topic_score_gemma":0.00004737583,"domain_scores_codex":[0.9987136,0.00002546228,0.000272362,0.0003728187,0.0001427384,0.0004730217],"domain_scores_gemma":[0.9992846,0.0000576768,0.00008996028,0.0004092731,0.00005155816,0.0001069502],"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":[0.00001575721,0.00004934276,0.0002275693,0.00001227435,0.00004247383,0.00001098058,0.0001224744,0.001693656,0.000003235142,0.4049055,0.01006383,0.5828529],"study_design_scores_gemma":[0.0005638475,0.00004459035,0.0003919062,0.00001239086,0.00001355699,0.000002055882,0.00003601575,0.9845645,0.00003632837,0.001444248,0.01270911,0.0001814125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003122519,0.00005076727,0.9688177,0.0001466707,0.0006184244,0.0004113147,6.237095e-7,0.0003138566,0.02651818],"genre_scores_gemma":[0.9217398,0.00001752325,0.07018945,0.0009996736,0.0001618933,0.0001330906,0.000002692179,0.00001349628,0.006742345],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9828709,"threshold_uncertainty_score":0.4884458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739193049212016,"score_gpt":0.227294648939777,"score_spread":0.2099027184476568,"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."}}