{"id":"W1993059646","doi":"10.1145/1822327.1822329","title":"Lightweight reliable overlay multicasting in large-scale P2P networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Multicast; Computer network; Computer science; Node (physics); Distributed computing; Source-specific multicast; Overlay multicast; Overlay network; Service layer; Service (business); Multicast address; Pragmatic General Multicast; Survivability; Quality of service; Engineering; The Internet","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":[0.0008712602,0.0002887138,0.000338392,0.000397429,0.0008357876,0.0008220056,0.0008115249,0.0006619908,0.000524919],"category_scores_gemma":[0.002627626,0.0002201069,0.0002411148,0.0004845441,0.0006478519,0.001783907,0.001073983,0.0005966955,0.0002209788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004549886,"about_ca_system_score_gemma":0.0004652778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007214919,"about_ca_topic_score_gemma":0.0009837332,"domain_scores_codex":[0.9994711,0.0001599206,0.00002522558,0.00004262949,0.0002433452,0.00005776886],"domain_scores_gemma":[0.9991332,0.0003542192,0.0001231808,0.0002272426,0.0001162089,0.00004596408],"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":[0.0003063772,0.0001383462,0.00283139,0.0005678766,0.00006260601,0.001733283,0.0007856609,0.4138179,0.1002792,0.1605366,0.005797038,0.3131438],"study_design_scores_gemma":[0.00002718158,0.0002248879,0.001061122,0.00002880444,0.00003934203,0.0006943141,0.0002256076,0.8804121,0.02054105,0.08550395,0.01121255,0.00002906969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07544131,0.0007072034,0.9177699,0.0004888288,0.00004725698,0.00007867653,0.00003429167,0.001197261,0.004235353],"genre_scores_gemma":[0.8631222,0.0006698883,0.1336472,0.00006182566,0.00008849042,0.00009161628,0.00006226506,0.00007646911,0.002180052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008712602,"threshold_uncertainty_score":0.004607677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00731046457209326,"score_gpt":0.2315810595567225,"score_spread":0.2242705949846292,"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."}}