{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003733021,0.0005683375,0.0004685214,0.000548848,0.0003809211,0.0004691829,0.001101932,0.0008331351,0.001934867],"category_scores_gemma":[0.001314132,0.0002504956,0.0004174433,0.000481688,0.0003690158,0.0008995394,0.0005531083,0.0009509442,0.0002425191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459789,"about_ca_system_score_gemma":0.0008268546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558976,"about_ca_topic_score_gemma":0.01997479,"domain_scores_codex":[0.9998598,0.00004148698,0.000005579578,0.0000343789,0.0000322553,0.00002644109],"domain_scores_gemma":[0.9997745,0.0001154663,0.00002887423,0.00001816167,0.00005044033,0.00001260195],"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":[0.00004533926,0.00003111575,0.0003538727,0.00003329077,0.00001795539,0.00004065232,0.00002513533,0.9254169,0.001627685,0.00683912,0.002082324,0.0634867],"study_design_scores_gemma":[0.000001131002,0.00000398418,0.00003259414,0.000001062908,0.000001885189,0.000003435161,0.000002252033,0.9979357,0.0001385643,0.001764327,0.0001140586,0.000001023735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04952921,0.0006489675,0.9423283,0.0008565304,0.0001030734,0.00005788808,0.0001401675,0.001146787,0.005188997],"genre_scores_gemma":[0.8406167,0.0005704315,0.1535581,0.0002579876,0.00008477915,0.0000970562,0.0003425304,0.0001147498,0.004357558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01558976,"threshold_uncertainty_score":0.03099805,"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."}}