{"id":"W74481606","doi":"10.1007/1-4020-4437-2_38","title":"Dynamic and Scalable Bandwidth Allocation for Beyond 3G CDMA Systems","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of British Columbia; Nortel (Canada)","funders":"","keywords":"Computer science; Scalability; Dynamic bandwidth allocation; Bandwidth (computing); Computer network; Code division multiple access; W-CDMA","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":[0.0001620919,0.0006128387,0.0003610835,0.0002687766,0.0002514631,0.0009294155,0.0005019519,0.0004612949,0.00786606],"category_scores_gemma":[0.0002946084,0.0002829692,0.000154379,0.000536929,0.0002487701,0.001032737,0.0004601578,0.0009147802,0.002144878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005242107,"about_ca_system_score_gemma":0.0004142075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009239118,"about_ca_topic_score_gemma":0.002653712,"domain_scores_codex":[0.9998997,0.00001124944,0.000002918404,0.00001570475,0.00005809907,0.00001234826],"domain_scores_gemma":[0.9999276,0.00003077247,0.000003676274,0.00001410362,0.00001884374,0.000004973339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004878747,0.00004687556,0.0001372293,0.0001749234,0.00002368663,0.0001031809,0.00008099,0.09131055,0.02494439,0.2026856,0.0493157,0.6311282],"study_design_scores_gemma":[0.00001254915,0.00006708451,0.0005089685,0.0001043686,0.00002554179,0.0004405081,0.00005912125,0.362719,0.01112515,0.2648061,0.3600972,0.0000343326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0088048,0.0171906,0.8008816,0.001195707,0.001079625,0.00005274943,0.0001598746,0.001322528,0.1693124],"genre_scores_gemma":[0.2658856,0.02419431,0.3992381,0.000711098,0.001268707,0.0001559403,0.0004143753,0.0006327894,0.3074991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00786606,"threshold_uncertainty_score":0.02631456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004323643471213483,"score_gpt":0.1823943904343744,"score_spread":0.1780707469631609,"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."}}