{"id":"W2153451374","doi":"10.1109/icn.2009.26","title":"Achieving a QoS Target in NGN Networks via an Efficient Admission Control Strategy","year":2009,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Quality of service; Next-generation network; Computer science; Computer network; Jitter; Scalability; Multiprotocol Label Switching; Throughput; Admission control; The Internet; 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":[0.0009167621,0.0004932257,0.0004736193,0.0003096776,0.0006432257,0.001042997,0.000911405,0.0007263709,0.0007461302],"category_scores_gemma":[0.002478223,0.0001474505,0.0001985051,0.000319608,0.000924408,0.001221994,0.000739567,0.0008277024,0.0001869144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112206,"about_ca_system_score_gemma":0.001116477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002279404,"about_ca_topic_score_gemma":0.00180919,"domain_scores_codex":[0.999315,0.0002032724,0.00002846716,0.00007273381,0.0003030029,0.00007742924],"domain_scores_gemma":[0.9994974,0.000238924,0.00008023117,0.0000742218,0.00007848332,0.00003066109],"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":[0.0001253801,0.000100764,0.001069393,0.0001021563,0.00002945398,0.0002435949,0.0003612779,0.6541662,0.06441145,0.1806307,0.001562189,0.09719743],"study_design_scores_gemma":[0.000008613937,0.00002058642,0.0001089861,0.000008557236,0.000005518848,0.00004166006,0.00002724351,0.9761007,0.005322756,0.0166174,0.001727654,0.00001025343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03484239,0.0001957114,0.9599758,0.0001950459,0.00005060839,0.00006021186,0.00001538223,0.0002809874,0.004383824],"genre_scores_gemma":[0.8618815,0.0002549677,0.1352161,0.00008661801,0.00008645815,0.0001292522,0.00002346672,0.00004265296,0.002278998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002279404,"threshold_uncertainty_score":0.008069694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006906348512901797,"score_gpt":0.2271281707537763,"score_spread":0.2202218222408746,"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."}}