{"id":"W2125488691","doi":"10.1109/iscc.2001.935371","title":"MBA: a tool for multicast billing and accounting","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Multicast; Computer science; Protocol Independent Multicast; Pragmatic General Multicast; IP multicast; Source-specific multicast; Computer network; Xcast; Inter-domain; Router; Distance Vector Multicast Routing Protocol; Debugging; Internet Group Management Protocol; Distributed computing; Operating system","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":[0.007197927,0.001843174,0.002006343,0.008144754,0.001542242,0.006298464,0.004785181,0.002344151,0.02665274],"category_scores_gemma":[0.0221602,0.002454175,0.001388191,0.004097216,0.00123265,0.009971135,0.005051963,0.004550516,0.01682003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001912906,"about_ca_system_score_gemma":0.002332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003354001,"about_ca_topic_score_gemma":0.002628383,"domain_scores_codex":[0.9954115,0.0008221241,0.0005880714,0.0004947689,0.002356683,0.0003269101],"domain_scores_gemma":[0.9891912,0.004316787,0.001087506,0.003161946,0.001455173,0.0007874032],"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":[0.0008335443,0.0003827908,0.005000479,0.0007460358,0.0002263014,0.0006836829,0.000886089,0.01286019,0.009806863,0.09857696,0.237935,0.632062],"study_design_scores_gemma":[0.0003617673,0.0001613587,0.003115695,0.0004483459,0.0001324713,0.001439963,0.0001468477,0.3190835,0.02201175,0.08068742,0.5720283,0.00038248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002372574,0.0003836742,0.6882805,0.0005399425,0.0001893398,0.0003769518,0.002764129,0.2974651,0.007627795],"genre_scores_gemma":[0.07845451,0.0008120656,0.8504567,0.0006807699,0.0003830949,0.001397591,0.008585396,0.03881481,0.02041509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02665274,"threshold_uncertainty_score":0.08916235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919200072062762,"score_gpt":0.2107482118532623,"score_spread":0.1915562111326347,"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."}}