{"id":"W1963926093","doi":"10.1109/bsc.2008.4563202","title":"Considerations for bandwidth adaptation mechanisms in wireless networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Bandwidth (computing); Computer science; Adaptation (eye); Dynamic bandwidth allocation; Wireless; Computer network; Wireless network; Bandwidth allocation; Distributed computing; Telecommunications; Psychology","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":[0.005280605,0.001333486,0.0008917774,0.0008943881,0.001707623,0.005354258,0.002534767,0.005029645,0.003207971],"category_scores_gemma":[0.03954796,0.001089662,0.0004960886,0.001064649,0.001750935,0.01033401,0.001563987,0.004353335,0.0007157831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424689,"about_ca_system_score_gemma":0.001351252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002038488,"about_ca_topic_score_gemma":0.001616269,"domain_scores_codex":[0.9957253,0.00185539,0.0002184725,0.0003896845,0.001374786,0.0004363637],"domain_scores_gemma":[0.97654,0.01758678,0.001210288,0.001316668,0.002789265,0.0005569314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000551418,0.0003514998,0.002464346,0.001148818,0.0001421696,0.0009943701,0.0006105862,0.28614,0.0378375,0.5316281,0.008240399,0.1298907],"study_design_scores_gemma":[0.0001799002,0.0006957491,0.00259802,0.0007327721,0.0002606726,0.001566293,0.000600757,0.6368619,0.01398337,0.2990538,0.04324116,0.0002256799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1544434,0.05941122,0.6670949,0.04577497,0.002573422,0.0004848881,0.0001274115,0.0009947654,0.06909504],"genre_scores_gemma":[0.9129865,0.01125798,0.06750601,0.001707235,0.001424785,0.0002836007,0.00004108799,0.0001665465,0.004626348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005354258,"threshold_uncertainty_score":0.0279268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08170118514357841,"score_gpt":0.2896129893135937,"score_spread":0.2079118041700153,"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."}}