{"id":"W2169934285","doi":"10.1109/ccece.2005.1557307","title":"Rate-based congestion control for tree-based reliable multicast","year":2006,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Multicast; Source-specific multicast; Protocol Independent Multicast; Computer science; Computer network; Xcast; Pragmatic General Multicast; Reliable multicast; Distance Vector Multicast Routing Protocol; IP multicast; Distributed computing; Network congestion; Inter-domain; Retransmission; Tree (set theory); Network packet; Mathematics","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":[0.002649931,0.0003813895,0.0004451607,0.0009940322,0.0005127655,0.0006741988,0.001078702,0.0004153811,0.00066866],"category_scores_gemma":[0.008568925,0.0002551691,0.0003249977,0.0005714766,0.0004755097,0.001045059,0.0005127799,0.0006748221,0.0001473487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007139195,"about_ca_system_score_gemma":0.0007567959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001480256,"about_ca_topic_score_gemma":0.001183914,"domain_scores_codex":[0.9986302,0.0004390206,0.00009529793,0.0001109296,0.0006330693,0.00009152528],"domain_scores_gemma":[0.9974149,0.001152007,0.0003657808,0.0002826799,0.0007030615,0.0000815888],"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":[0.0004676523,0.0001538732,0.002495779,0.0004740976,0.000138384,0.0003574128,0.0004285531,0.5564306,0.05357435,0.1021874,0.006308034,0.2769839],"study_design_scores_gemma":[0.00004353766,0.0001325064,0.0004100454,0.00002396535,0.00003927101,0.0001359218,0.00001461451,0.9775595,0.006477499,0.01073342,0.00439036,0.0000392803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02347553,0.001151044,0.9720324,0.0001913827,0.0001214882,0.0001078732,0.00003983624,0.001062815,0.001817536],"genre_scores_gemma":[0.7922519,0.0009501125,0.204696,0.0001168462,0.0002405078,0.0002692088,0.0001096622,0.0001186884,0.001247038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002649931,"threshold_uncertainty_score":0.01401436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008426225393122246,"score_gpt":0.2112440596263369,"score_spread":0.2028178342332146,"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."}}