{"id":"W2147761933","doi":"10.1109/aina.2007.61","title":"Dynamic Bandwidth Allocation in SIP based MPLS","year":2007,"lang":"en","type":"article","venue":"Proceedings","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Multiprotocol Label Switching; Computer network; Quality of service; Computer science; Reservation; Bandwidth (computing); Bandwidth allocation; Dynamic bandwidth allocation; Admission control; Resource Reservation Protocol; Signaling protocol; Resource allocation; Prioritization; Call Admission Control; Resource management (computing); Internet protocol suite; 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":[0.0004401665,0.0002009727,0.0002574972,0.0004027028,0.0004042733,0.000630172,0.0005040894,0.0004237644,0.0006773953],"category_scores_gemma":[0.0007325952,0.0002577758,0.0001580873,0.0002795167,0.0005308998,0.0005940404,0.0003593559,0.0002727562,0.0002208227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000553835,"about_ca_system_score_gemma":0.0003368623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105003,"about_ca_topic_score_gemma":0.001149745,"domain_scores_codex":[0.9997353,0.0000843093,0.00001261096,0.00003052511,0.00009650257,0.00004066211],"domain_scores_gemma":[0.999842,0.0000574041,0.00001787687,0.000034591,0.00003336923,0.00001463056],"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":[0.0002654627,0.0001531316,0.0009163981,0.00008985537,0.00004124741,0.0003579765,0.0002375395,0.6612946,0.1007264,0.125211,0.002195063,0.1085111],"study_design_scores_gemma":[0.00001470828,0.00003539049,0.0002795676,0.000006825622,0.00001152095,0.00009732454,0.00003371468,0.9653735,0.009755664,0.0210968,0.003278699,0.00001627378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2885753,0.001491969,0.6800111,0.0005077492,0.000124603,0.00008931809,0.00007982033,0.001497075,0.02762304],"genre_scores_gemma":[0.9639251,0.0002125223,0.03352185,0.0000636144,0.00002255811,0.00004470598,0.00002239256,0.00003262824,0.002154639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00105003,"threshold_uncertainty_score":0.004018366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006575262934370047,"score_gpt":0.2266371848107604,"score_spread":0.2200619218763903,"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."}}