{"id":"W2085106104","doi":"10.1109/saci.2012.6249999","title":"A Traffic Engineering algorithm for Differentiated multicast Services over MPLS networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Multicast; Computer network; Computer science; Multiprotocol Label Switching; Protocol Independent Multicast; Xcast; Source-specific multicast; Quality of service; Distributed computing; Distance Vector Multicast Routing Protocol; Traffic engineering; IP multicast; Pragmatic General Multicast","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":[0.0005771497,0.0006225962,0.0004769787,0.0006932152,0.0006252722,0.0009462631,0.001006132,0.0009259101,0.00266498],"category_scores_gemma":[0.001431083,0.0002650548,0.0004056411,0.0004890304,0.000437526,0.000753672,0.0006907597,0.0008686512,0.0007140161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023248,"about_ca_system_score_gemma":0.0009353827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00201226,"about_ca_topic_score_gemma":0.001426082,"domain_scores_codex":[0.9996356,0.0000815457,0.0000272107,0.00006816882,0.0001449273,0.00004264187],"domain_scores_gemma":[0.9996106,0.0001447809,0.00003952637,0.0000247149,0.0001615724,0.00001879553],"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":[0.0001323633,0.00009187793,0.0007757175,0.0001538455,0.00003094214,0.0001123132,0.0001510427,0.6216981,0.0154875,0.04489538,0.002780773,0.3136901],"study_design_scores_gemma":[0.00001197384,0.00003367793,0.00005171857,0.000009071902,0.000004386207,0.00003839496,0.000008874581,0.9910908,0.002191161,0.004142086,0.002412018,0.000005812621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003638737,0.00007701262,0.9945175,0.00006483123,0.00002477155,0.00006143589,0.00001957335,0.0002866389,0.001309552],"genre_scores_gemma":[0.1773633,0.0001850902,0.8182738,0.00008160027,0.00003166904,0.0003149229,0.0002029554,0.00009469292,0.003451999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00266498,"threshold_uncertainty_score":0.008915246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006714726562698061,"score_gpt":0.2092788829411306,"score_spread":0.2025641563784326,"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."}}