{"id":"W92530893","doi":"10.1023/a:1009596207401","title":"A Distributed Fair Queueing (DFQ) Architecture for Wireless ATM Local Access Networks","year":2000,"lang":"en","type":"article","venue":"International Journal of Wireless Information Networks","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Computer science; Computer network; Asynchronous Transfer Mode; Quality of service; Network packet; Wi-Fi; Scheduling (production processes); Local area network; Queueing theory; Data transmission; Base station; Wireless; Wireless network; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006367991,0.0002885218,0.0003939061,0.0002452531,0.0001933942,0.0009970482,0.002581066,0.0002218279,0.00007546455],"category_scores_gemma":[0.00003042174,0.0002560241,0.00031767,0.0004161036,0.00009626328,0.003798387,0.0001533536,0.0006002384,0.00001059831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931392,"about_ca_system_score_gemma":0.0001592154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001232836,"about_ca_topic_score_gemma":0.00001606919,"domain_scores_codex":[0.9972025,0.00009416128,0.001282703,0.0001992841,0.0007712421,0.0004500796],"domain_scores_gemma":[0.9971333,0.0003799636,0.0009261211,0.0002754328,0.0010594,0.0002258406],"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":[0.0001924682,0.00002623946,0.00007063142,0.00000392837,0.0001003196,0.000009183492,0.0001068958,0.4897859,3.857453e-7,0.004669688,0.003138661,0.5018957],"study_design_scores_gemma":[0.001900662,0.0001033087,0.0004131967,0.0001839447,0.00002328449,0.0002332089,0.00003866871,0.9554639,0.00001246811,0.0006675996,0.04069748,0.0002622606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008860937,0.0001786429,0.9850112,0.002782531,0.002372607,0.0002857966,0.00002072719,0.0001188531,0.0003687276],"genre_scores_gemma":[0.9937348,0.0002829144,0.002336952,0.001908849,0.001539465,0.00003193709,0.00009961492,0.0000154677,0.00005005027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9848738,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006397050090726133,"score_gpt":0.2413454435786494,"score_spread":0.2349483934879233,"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."}}