{"id":"W1846037674","doi":"10.1109/icii.2001.983565","title":"DiffServ-enabled adaptive traffic engineering over MPLS","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Multiprotocol Label Switching; Differentiated services; Computer network; Quality of service; Traffic engineering; Internet traffic engineering; Network packet; The Internet; Path (computing); Distributed computing; Network traffic control","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":[0.0004762184,0.0003941072,0.0002228454,0.0003862905,0.000323099,0.0004654974,0.0007300603,0.0004101535,0.0007847022],"category_scores_gemma":[0.00121047,0.000176833,0.0002176369,0.0004192241,0.0003813073,0.0007013475,0.0003266789,0.0005032828,0.0002104939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007494161,"about_ca_system_score_gemma":0.0003691734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980813,"about_ca_topic_score_gemma":0.00133448,"domain_scores_codex":[0.9997349,0.00007084841,0.00001479038,0.00003219085,0.0001223351,0.00002497667],"domain_scores_gemma":[0.9996387,0.0001402824,0.00003038737,0.00005505386,0.0001155856,0.00001994748],"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":[0.0003850818,0.0001644397,0.00178668,0.0001803702,0.00004951577,0.0003869264,0.0002363831,0.5214609,0.07344569,0.09953611,0.005976061,0.2963919],"study_design_scores_gemma":[0.00001939316,0.00003878811,0.000137588,0.000005644184,0.00001161651,0.00006870327,0.000008474361,0.9707279,0.01061038,0.01358922,0.004770902,0.00001135053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07392922,0.0006858943,0.9166927,0.0004007281,0.00014432,0.00008190812,0.0001399762,0.002223585,0.005701622],"genre_scores_gemma":[0.8441672,0.000704361,0.1508818,0.0001829431,0.00006628552,0.00006205234,0.0001854177,0.00008833626,0.003661502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001980813,"threshold_uncertainty_score":0.005437374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196580376364519,"score_gpt":0.175794707453074,"score_spread":0.1638289036894288,"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."}}