{"id":"W2156260722","doi":"10.1109/jsac.2007.071205","title":"R2: Random Push with Random Network Coding in Live Peer-to-Peer Streaming","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":286,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Upload; Linear network coding; Testbed; Computer network; Server; Peer-to-peer; Multicast; BitTorrent; World Wide Web; Network packet","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":[0.002675953,0.0007215085,0.0006838663,0.0007853706,0.000561996,0.001014929,0.001695183,0.001278863,0.001989896],"category_scores_gemma":[0.007955136,0.000371986,0.0006274075,0.0007620121,0.001947497,0.002360233,0.00210112,0.001583806,0.0008061742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043253,"about_ca_system_score_gemma":0.001447389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00238716,"about_ca_topic_score_gemma":0.001430645,"domain_scores_codex":[0.9984005,0.0006978584,0.00006451704,0.0002475957,0.0004834138,0.0001060661],"domain_scores_gemma":[0.997481,0.001631146,0.0001631911,0.00027683,0.0003453302,0.0001025767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002524796,0.0000743194,0.00049578,0.0002116389,0.00004231313,0.000289856,0.0002854586,0.432656,0.01123646,0.4398578,0.003464377,0.1111334],"study_design_scores_gemma":[0.00003007047,0.00006199089,0.00005030656,0.00001965573,0.000007963397,0.00008988537,0.00001880292,0.9419728,0.00351056,0.05132828,0.002887835,0.00002186438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00538592,0.0001835399,0.9912028,0.0001375439,0.00003899206,0.00008360162,0.00003113507,0.0004263988,0.002509987],"genre_scores_gemma":[0.3408868,0.0007457538,0.6486137,0.000379486,0.0001603963,0.0005847552,0.0001957756,0.0003530797,0.008080213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002675953,"threshold_uncertainty_score":0.01415193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03754363206759547,"score_gpt":0.3099601509320104,"score_spread":0.2724165188644149,"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."}}