{"id":"W2072776533","doi":"10.1109/vetecf.2010.5594592","title":"QoS Assured Uplink Scheduler for WiMAX Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Eion (Canada); Carleton University","funders":"Ontario Centres of Excellence","keywords":"WiMAX; Computer science; Quality of service; Computer network; Scheduling (production processes); Wireless broadband; Admission control; Telecommunications link; Broadband networks; Wireless; Distributed computing; Broadband; Wireless network; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007314477,0.0001236912,0.0001184512,0.00003289411,0.00004913422,0.00002539907,0.0000987023,0.0001509374,0.0001511845],"category_scores_gemma":[0.00002092701,0.0001228045,0.00004248718,0.0001238973,0.00001697025,0.0001474551,0.0000133562,0.0002134432,0.00001968286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001349836,"about_ca_system_score_gemma":0.000005356401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.632696e-7,"about_ca_topic_score_gemma":0.00001924218,"domain_scores_codex":[0.9993993,0.00000283924,0.0001491339,0.0001352619,0.00005442959,0.0002590421],"domain_scores_gemma":[0.9995897,0.00006425114,0.00001862257,0.000210226,0.00005320944,0.00006399346],"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":[0.000004444821,0.000005357495,0.0001055653,0.00000813269,0.00001418911,2.259283e-7,0.000006253335,0.9792095,0.001309955,0.003060095,0.004948078,0.01132821],"study_design_scores_gemma":[0.0002835339,0.000007981248,0.000125893,0.000004429423,0.000007803574,0.00000118022,0.000002717312,0.9820502,0.001216072,0.0002333904,0.01590472,0.0001620568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002913327,0.00007413183,0.9900035,0.00005270935,0.001729337,0.0002743143,0.000001398906,0.0006792778,0.00427202],"genre_scores_gemma":[0.6568913,0.00003336728,0.3412753,0.00007455798,0.0009624903,0.00008776121,0.00004377789,0.00007496632,0.0005564622],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.653978,"threshold_uncertainty_score":0.5007823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003331837760917735,"score_gpt":0.198268541537623,"score_spread":0.1949367037767053,"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."}}