{"id":"W4235366758","doi":"10.1109/icatm.1998.688186","title":"A dynamic call admission scheme for VBR traffic in ATM networks","year":2002,"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 Alberta","funders":"","keywords":"Variable bitrate; Call Admission Control; Computer science; Computer network; Quality of service; Blocking (statistics); Bandwidth (computing); Call blocking; Scheme (mathematics); Admission control; Constant bitrate; Real-time computing; Telecommunications","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":[0.001654483,0.000703795,0.001033251,0.0009128089,0.001640541,0.001570441,0.003167522,0.001563533,0.001483357],"category_scores_gemma":[0.003626452,0.0003022199,0.0004360754,0.0008973402,0.001511332,0.001590598,0.001824683,0.002019377,0.0005515816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553912,"about_ca_system_score_gemma":0.000931489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722993,"about_ca_topic_score_gemma":0.00158003,"domain_scores_codex":[0.998384,0.0003082053,0.0001070958,0.0002508945,0.0006636051,0.0002861786],"domain_scores_gemma":[0.9987078,0.0002720149,0.000134728,0.0003377814,0.0003643337,0.0001833513],"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":[0.0009259554,0.0004882542,0.001791659,0.0003503153,0.000126242,0.0005759612,0.0009028828,0.1211353,0.1549223,0.2262762,0.009197189,0.4833077],"study_design_scores_gemma":[0.0001903248,0.0005533263,0.001732794,0.00008592308,0.0002108553,0.001509083,0.0001072554,0.8537852,0.03811817,0.06445416,0.03890989,0.0003431257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05704237,0.001856129,0.9300091,0.0006003189,0.000392205,0.0003091807,0.0001536282,0.002902598,0.006734371],"genre_scores_gemma":[0.8805016,0.0007283244,0.1135316,0.0004063038,0.0005071311,0.0001674248,0.0002203231,0.0001010223,0.003836308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003167522,"threshold_uncertainty_score":0.01127446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122867543493536,"score_gpt":0.2255187789738329,"score_spread":0.2132320246244793,"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."}}