{"id":"W3015755308","doi":"10.1109/jsac.2020.2986591","title":"A Virtual Network Customization Framework for Multicast Services in NFV-Enabled Core Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Computer science; Computer network; Virtual network; Distributed computing; Multicast; Multipath routing; Routing (electronic design automation); Static routing; Routing protocol","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005880329,0.0002593643,0.0003984697,0.0002097245,0.0005040494,0.0003372368,0.002741961,0.0002565965,0.000009916317],"category_scores_gemma":[0.0004269564,0.0002545155,0.0001010508,0.003226976,0.00005454302,0.0004538823,0.0002678261,0.001597476,0.00001156883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651794,"about_ca_system_score_gemma":0.0001739562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001741356,"about_ca_topic_score_gemma":0.000225426,"domain_scores_codex":[0.9975857,0.0003955757,0.0007793738,0.000369003,0.000272961,0.0005973847],"domain_scores_gemma":[0.99541,0.002470633,0.0004065556,0.001075869,0.0003863305,0.000250595],"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":[0.0001685118,0.0003651201,0.01307296,0.00001317945,0.00005337652,0.00001435284,0.001824918,0.9392151,0.00002143524,0.02802867,0.003953147,0.01326928],"study_design_scores_gemma":[0.001233812,0.0002486263,0.008095505,0.0004552574,0.00001453377,0.0000256389,0.00007467067,0.981022,0.000006495881,0.005121776,0.003425529,0.0002761348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0118568,0.0008185489,0.9791709,0.006660532,0.0005608033,0.0005829927,0.000005949412,0.0002128031,0.0001306656],"genre_scores_gemma":[0.8672879,0.0009516963,0.1277287,0.003267773,0.0005928339,0.00009409664,0.00003303121,0.00003556528,0.000008386177],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8554311,"threshold_uncertainty_score":0.9999907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04369836561036022,"score_gpt":0.2972228313205783,"score_spread":0.253524465710218,"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."}}