{"id":"W1919153751","doi":"10.1002/wcm.2479","title":"Optimized bandwidth allocation in broadband wireless access networks","year":2014,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Computer science; WiMAX; Computer network; Wireless broadband; 3rd Generation Partnership Project 2; Quality of service; Handover; Interoperability; Mobile broadband; IMT Advanced; Bandwidth (computing); Exploit; Bandwidth allocation; Wireless; Femtocell; Broadband; Wireless network; Telecommunications; Base station; Mobile computing; Mobile technology; Computer security; Mobile Web; Telecommunications link","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":[0.0006630177,0.000473996,0.0004673307,0.000602786,0.0003012742,0.0007544995,0.0005165568,0.0005188636,0.001342072],"category_scores_gemma":[0.002012859,0.0002438063,0.0001422781,0.0006593302,0.0004815763,0.0007789065,0.0005075175,0.0003001699,0.0001401697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101115,"about_ca_system_score_gemma":0.0006872205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004897003,"about_ca_topic_score_gemma":0.004471247,"domain_scores_codex":[0.9994183,0.0003184375,0.00001289582,0.00004802574,0.0001049941,0.00009752383],"domain_scores_gemma":[0.9994999,0.0003243522,0.00005364809,0.00002298457,0.00007535092,0.00002378698],"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":[0.00004113525,0.0000197661,0.0002134021,0.00001462518,0.000006854423,0.00002064244,0.00001048959,0.9771528,0.0008293667,0.007607903,0.0003612036,0.01372174],"study_design_scores_gemma":[0.000006212629,0.00001466904,0.0001002569,0.000002964964,0.000003424255,0.000008474111,0.000006035573,0.9960023,0.0002122204,0.003348573,0.0002925253,0.000002327862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2997881,0.003202674,0.6741396,0.0005646336,0.00007463587,0.000118403,0.0001254272,0.0004896785,0.02149687],"genre_scores_gemma":[0.9846529,0.0002673885,0.01370372,0.00002713477,0.00001521633,0.00002446249,0.00002308882,0.00001678333,0.001269088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004897003,"threshold_uncertainty_score":0.009737015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829371801669059,"score_gpt":0.3126635489920307,"score_spread":0.2843698309753402,"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."}}