{"id":"W2068671295","doi":"10.1016/j.peva.2010.11.001","title":"Dynamic multiple-frame bandwidth provisioning with fairness and revenue considerations for Broadband Wireless Access Systems","year":2010,"lang":"en","type":"article","venue":"Performance Evaluation","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Qatar Foundation","keywords":"Bandwidth (computing); Broadband; Computer science; Provisioning; Computer network; Wireless broadband; Wireless; Frame (networking); Telecommunications; Wireless network","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":[0.0004090935,0.0001724338,0.00017462,0.00009432387,0.0002387479,0.000178204,0.00007688922,0.0001001779,0.000007063462],"category_scores_gemma":[0.0001113122,0.0001608705,0.00001483875,0.0001599762,0.00005372703,0.0009568635,0.00001775458,0.0001889214,0.000001730657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000784459,"about_ca_system_score_gemma":0.00005677097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006526083,"about_ca_topic_score_gemma":0.0002336363,"domain_scores_codex":[0.9990216,0.00002516566,0.0002504482,0.0002343112,0.0002514664,0.0002169461],"domain_scores_gemma":[0.9991502,0.0001941588,0.00009850319,0.0002076251,0.0002959767,0.00005355186],"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":[0.00002384988,0.00000861765,0.007535681,0.0001610798,0.00001547396,1.518348e-7,0.0003035478,0.9702506,0.005692016,0.00006047161,0.00004470269,0.01590381],"study_design_scores_gemma":[0.001071274,0.00004507199,0.01360288,0.0001449629,0.00004399974,0.00001725207,0.00004414187,0.9832992,0.001344142,0.0001052111,0.000060599,0.0002212946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7728805,0.0001166686,0.225142,0.0000183457,0.0004108953,0.001224995,0.00001703221,0.0001211893,0.00006830948],"genre_scores_gemma":[0.9888529,0.00008527727,0.01001304,0.000007393317,0.00009535372,0.0007588841,0.0001015195,0.00005110845,0.00003456387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2159723,"threshold_uncertainty_score":0.6560109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160511307207771,"score_gpt":0.2685486629752878,"score_spread":0.2524975322545107,"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."}}