{"id":"W4416368409","doi":"10.1109/tmc.2025.3634587","title":"Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multicast; Protocol Independent Multicast; Multipath routing; Xcast; Geographic routing; Static routing; Distance Vector Multicast Routing Protocol; Routing (electronic design automation); Dynamic Source Routing; Reinforcement learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005539121,0.0003549583,0.0003979012,0.0003324197,0.0007150026,0.0002708625,0.0006952897,0.0001738976,0.000003966496],"category_scores_gemma":[0.000005975102,0.0003636121,0.0002384834,0.00139152,0.00004342346,0.000195804,0.000013546,0.0005520529,0.000002786085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000940375,"about_ca_system_score_gemma":0.00005406875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007468543,"about_ca_topic_score_gemma":0.0001478168,"domain_scores_codex":[0.9974504,0.0001388054,0.000585638,0.0007949462,0.0002045796,0.0008256932],"domain_scores_gemma":[0.9970171,0.002079784,0.000155475,0.0005714003,0.00007479948,0.0001014244],"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":[0.00003933666,0.0001446502,0.0008062158,0.00003985915,0.00002372016,0.000005543552,0.000117664,0.8346119,0.000007178783,0.0002971619,0.00002573846,0.1638811],"study_design_scores_gemma":[0.001310336,0.0002082322,0.001106486,0.0006574673,0.0000222545,0.000002223573,0.00004478962,0.9958791,0.0001955986,0.0001888805,0.00008591664,0.0002987333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0668859,0.0001785867,0.929631,0.0001419918,0.001926053,0.0007430235,0.000004337721,0.000425862,0.00006326938],"genre_scores_gemma":[0.9781542,0.00001009854,0.0204297,0.001026507,0.0001913759,0.0001285161,0.000004810526,0.00002895693,0.00002579997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9112684,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061437177395859,"score_gpt":0.2550538424132391,"score_spread":0.2444394706392805,"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."}}