{"id":"W1602819918","doi":"10.1109/icc.2015.7249214","title":"Network Function Virtualization enabled multicast routing on SDN","year":2015,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multicast; Computer network; Computer science; Protocol Independent Multicast; Xcast; Source-specific multicast; Pragmatic General Multicast; Distributed computing; Distance Vector Multicast Routing Protocol; IP multicast; Virtualization; Firewall (physics); Network virtualization; Cloud computing; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004235808,0.0001176862,0.0001122659,0.0000432394,0.0001268069,0.0001695805,0.0002602155,0.00006997528,0.00002278153],"category_scores_gemma":[0.0001122366,0.00009760969,0.00003175891,0.0004992021,0.00001139759,0.0003262254,0.0001217927,0.00009196858,0.0002544924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004828945,"about_ca_system_score_gemma":0.00003729545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003776401,"about_ca_topic_score_gemma":0.00001117797,"domain_scores_codex":[0.9988773,0.00006843571,0.0001859621,0.0003097222,0.0002598427,0.0002987206],"domain_scores_gemma":[0.9991983,0.0001349783,0.00006717916,0.0003636262,0.0001069681,0.0001289056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000647907,0.0001061554,0.005743935,0.000003774177,0.0000212177,0.00001097706,0.0005077057,0.1985224,0.00001635406,0.6452611,0.08121043,0.06853116],"study_design_scores_gemma":[0.0007433349,0.0003236856,0.002395233,0.0000308797,0.000007981904,0.000006133761,0.00004574788,0.9725742,0.00005013488,0.01026873,0.01331371,0.0002402407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002432988,0.00004296454,0.9832222,0.0003458715,0.001248002,0.0001107004,1.4036e-7,0.0005495949,0.01204749],"genre_scores_gemma":[0.9753435,0.000002631254,0.02042123,0.002482821,0.0006283111,0.000009822386,0.00000670067,0.00001260294,0.001092417],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9729105,"threshold_uncertainty_score":0.3980408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03978668179094427,"score_gpt":0.2402897839110933,"score_spread":0.200503102120149,"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."}}