{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009129572,0.0004574888,0.0004612333,0.0005630417,0.0005260963,0.001021287,0.0003835263,0.0005425903,0.0005063287],"category_scores_gemma":[0.003285852,0.0001903866,0.0002391853,0.0005047276,0.0004867203,0.0005968451,0.0006773476,0.0004523139,0.00007688964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195603,"about_ca_system_score_gemma":0.0005013243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175898,"about_ca_topic_score_gemma":0.007123827,"domain_scores_codex":[0.9994597,0.0001674195,0.00003004066,0.00005861963,0.0001299416,0.0001542329],"domain_scores_gemma":[0.9975104,0.001385086,0.0002587645,0.0001430208,0.0004959326,0.0002067423],"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":[0.002854103,0.0003964169,0.05479033,0.0001121454,0.0001336894,0.0008532453,0.0003628311,0.8496985,0.05938299,0.003173763,0.001048372,0.02719363],"study_design_scores_gemma":[0.00005482185,0.0005327955,0.009637749,0.00001615129,0.00003805465,0.0001702956,0.0001894288,0.9775057,0.01103296,0.0005635247,0.0002218746,0.0000366508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970387,0.0001036312,0.001944849,0.00003827943,0.000006816699,0.000005186584,0.00003550192,0.00004034301,0.0007866817],"genre_scores_gemma":[0.9993814,0.00004426821,0.0003843508,0.00001727729,0.000002068841,0.000003545984,0.00004319892,0.000003018417,0.0001208326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01175898,"threshold_uncertainty_score":0.02338105,"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."}}