{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001188177,0.00005930909,0.00007159972,0.00002520954,0.0001158766,0.0001528408,0.000150664,0.00002489247,0.00002348412],"category_scores_gemma":[0.00003260444,0.00004800321,0.00002461429,0.00007934905,0.00001488857,0.0002305898,0.00004200109,0.00003557689,0.00002078952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000472654,"about_ca_system_score_gemma":0.000003708794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001507372,"about_ca_topic_score_gemma":0.000002053141,"domain_scores_codex":[0.9994769,0.000007077803,0.0001001351,0.0001892866,0.00006407729,0.0001625329],"domain_scores_gemma":[0.9995959,0.0001764352,0.00002326624,0.0001309055,0.0000410193,0.00003250022],"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":[0.000001129042,0.00001311166,0.0002456715,0.000004054337,0.000005645324,0.000001037325,0.0001160253,0.0001353944,0.00004919497,0.05516461,0.001171961,0.9430922],"study_design_scores_gemma":[0.0003719148,0.00001756967,0.0001071451,0.000005745464,0.000003104024,0.000005460118,0.000008558357,0.9890663,0.00001935115,0.00028618,0.0100293,0.00007937166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01593373,0.0002092782,0.9806597,0.001624579,0.000136984,0.0001478598,3.17459e-7,0.000159304,0.001128278],"genre_scores_gemma":[0.9241151,0.00001631491,0.07446998,0.0006030901,0.0001110631,0.00002030057,1.181134e-7,0.000003477084,0.0006605277],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9889309,"threshold_uncertainty_score":0.1957514,"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."}}