{"id":"W2163021481","doi":"10.1109/iscc.2005.47","title":"Deploying Multicast Communication over MPLS Networks Using Tree Numbering","year":2005,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Multicast; Computer science; Computer network; Tree (set theory); Concatenation (mathematics); Protocol Independent Multicast; Xcast; Session (web analytics); Distance Vector Multicast Routing Protocol; Distributed computing; 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":[0.0004325901,0.0002954685,0.0004397647,0.0008447301,0.0004101743,0.0005723843,0.0007325934,0.0003272675,0.0005859656],"category_scores_gemma":[0.0008625666,0.0001516823,0.0001987129,0.0007499676,0.0002727991,0.001368801,0.0006645927,0.0003512628,0.0002778338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004534506,"about_ca_system_score_gemma":0.000285607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008443893,"about_ca_topic_score_gemma":0.0009423188,"domain_scores_codex":[0.9996336,0.0001027944,0.00002592929,0.00003722959,0.0001574632,0.00004301801],"domain_scores_gemma":[0.99954,0.0001070437,0.00006778696,0.0001291388,0.0001198064,0.00003629053],"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":[0.000465332,0.000155621,0.00242036,0.0001869214,0.00009299355,0.0004355776,0.0003184256,0.07901822,0.220903,0.03410545,0.003492943,0.6584052],"study_design_scores_gemma":[0.00005999661,0.0003755658,0.001386274,0.00002168731,0.00006749435,0.0005677839,0.00008111056,0.8618381,0.099563,0.01373557,0.02226045,0.00004291684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09018771,0.000436469,0.9040421,0.0001615886,0.00007525153,0.00006815397,0.00004778969,0.001924036,0.00305684],"genre_scores_gemma":[0.5592194,0.0004502146,0.4377505,0.00007408373,0.0000865277,0.00007462357,0.0001985743,0.00007625521,0.002069928],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0008447301,"threshold_uncertainty_score":0.003290057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804920710534243,"score_gpt":0.2561520379091667,"score_spread":0.2381028308038242,"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."}}