{"id":"W2150156233","doi":"10.1109/icc.2008.32","title":"Downlink Performance for Mixed Web/VoIP Traffic in 1xEVDO Revision A Networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Computer network; Quality of service; Voice over IP; Telecommunications link; Web traffic; Scheduling (production processes); Traffic generation model; Network packet; Queue; Queueing theory; Erlang (programming language); Distributed computing; Real-time computing; Engineering; The Internet","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":[0.00009798209,0.000158496,0.0001970606,0.00009210491,0.00006962215,0.000008820132,0.0001033731,0.0001173283,0.00002765624],"category_scores_gemma":[0.00001280545,0.0001564317,0.00004550349,0.0003539375,0.0000207551,0.0002254414,0.00001371589,0.0001526647,0.00001279736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007711017,"about_ca_system_score_gemma":0.00001068121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.587459e-7,"about_ca_topic_score_gemma":0.00001699005,"domain_scores_codex":[0.9991259,0.00001107732,0.0002857561,0.0001799161,0.00007272694,0.000324624],"domain_scores_gemma":[0.9996377,0.00007368228,0.00002714176,0.0001784343,0.00003199502,0.00005107676],"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":[0.0000171915,0.00001095665,0.0002622407,0.00003621085,0.000003759866,0.000001633647,0.0000444391,0.9528784,0.00002428327,0.00003063044,0.002335372,0.04435486],"study_design_scores_gemma":[0.0006387962,0.00003310921,0.0006701428,0.00006984321,0.000003133211,0.00000744744,0.000008425392,0.9940148,0.0000910711,0.00000423981,0.004261557,0.0001974622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5166951,0.0007048056,0.4806299,0.00002628091,0.000315927,0.0004363687,0.000001562966,0.0004641355,0.0007259493],"genre_scores_gemma":[0.9643083,0.003787123,0.0313574,0.00003421079,0.0001771031,0.00005263095,0.00004334292,0.00004856897,0.0001913515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4492725,"threshold_uncertainty_score":0.6379101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00950993197167136,"score_gpt":0.20156151329579,"score_spread":0.1920515813241186,"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."}}