{"id":"W2102946107","doi":"10.1109/iwcmc.2008.163","title":"Adaptive Bandwidth Allocation in an 802.15.3 Master-Slave Bridge","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Computer science; Bandwidth allocation; Bandwidth (computing); Queue; Bridge (graph theory); Computer network; Telecommunications link; Throughput; Queueing theory; Blocking (statistics); Smoothing; Telecommunications; Wireless","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":[0.001434545,0.0002341501,0.0005020461,0.0002476807,0.0003004436,0.000418949,0.0006943657,0.0004439087,0.0004716239],"category_scores_gemma":[0.002479482,0.0001585934,0.0001690666,0.000223888,0.000538969,0.0005863257,0.0004192846,0.0003807353,0.00005268347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004317366,"about_ca_system_score_gemma":0.0004345715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001629486,"about_ca_topic_score_gemma":0.001024721,"domain_scores_codex":[0.9995382,0.0001448264,0.00001840308,0.00006538672,0.0001171383,0.0001161501],"domain_scores_gemma":[0.9988079,0.0006438731,0.0001286283,0.000118,0.0002122234,0.00008950531],"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":[0.001671855,0.0006309883,0.01923279,0.00008977715,0.000114382,0.0003693224,0.0004765528,0.7895367,0.1367701,0.007933046,0.0006928114,0.04248188],"study_design_scores_gemma":[0.00006036374,0.0004113149,0.002591802,0.000002896868,0.00002351597,0.00004846692,0.00004102447,0.9837901,0.01202604,0.0008556335,0.0001389599,0.000009845083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607317,0.00006047066,0.03840509,0.00006292291,0.00001264162,0.00001614332,0.000008081915,0.0001095266,0.0005933885],"genre_scores_gemma":[0.9973966,0.00000994996,0.002460758,0.00001094224,0.000002155034,0.000005778797,0.000003337991,0.000002550013,0.0001080013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001629486,"threshold_uncertainty_score":0.007586718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07147112396645974,"score_gpt":0.2740645832266457,"score_spread":0.2025934592601859,"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."}}