{"id":"W2126771198","doi":"10.1109/icme.2003.1220964","title":"Receiver-driven layered multicast using active networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multicast; Computer network; Computer science; Reliable multicast; Source-specific multicast; Distributed computing; Pragmatic General Multicast; Packet loss; Xcast; Network packet; Protocol Independent Multicast; Network congestion; Distance Vector Multicast Routing Protocol","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":[0.001467135,0.0006495347,0.0005684356,0.0006688917,0.0007264253,0.0009467464,0.001652805,0.0007993018,0.0006597105],"category_scores_gemma":[0.002068584,0.0003224313,0.0005934895,0.0003814175,0.0005361358,0.001988313,0.00141068,0.001099668,0.0002793803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006086421,"about_ca_system_score_gemma":0.0004200187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000661317,"about_ca_topic_score_gemma":0.0005953574,"domain_scores_codex":[0.9991384,0.0003222435,0.00005773212,0.00008667956,0.000292735,0.0001022032],"domain_scores_gemma":[0.998914,0.0003434636,0.0001183866,0.0001895403,0.0003418373,0.0000927614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009722927,0.0004027592,0.002601903,0.0005721644,0.0002548554,0.0009457294,0.001022403,0.1644395,0.1882187,0.2554511,0.002960613,0.3821579],"study_design_scores_gemma":[0.00006248168,0.0004251669,0.0002489548,0.00004540661,0.0001372024,0.000279735,0.00004488309,0.9244224,0.03690745,0.02579052,0.01155809,0.00007765922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03970122,0.0008124256,0.9552506,0.0001929217,0.0001444629,0.00007740023,0.00002064196,0.0007041564,0.003096157],"genre_scores_gemma":[0.7175415,0.0008603917,0.2782584,0.0001636858,0.0002308676,0.0001138533,0.00008417654,0.00005776383,0.002689399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001652805,"threshold_uncertainty_score":0.007759035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211657464504473,"score_gpt":0.2402901892256548,"score_spread":0.2191244427752075,"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."}}