{"id":"W1603958972","doi":"","title":"New addressing scheme to increase reliability in MPLS with network coding","year":2013,"lang":"en","type":"article","venue":"University of Debrecen Electronic Archive (University of Debrecen)","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Multiprotocol Label Switching; Linear network coding; Label switching; Network topology; Backbone network; Multicast; Network packet; Header; Network architecture; Circuit switching; Distributed computing; Quality of service","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":[0.0004718236,0.0003237808,0.0002720311,0.0006253739,0.0004170258,0.0004424004,0.0009010175,0.0004797749,0.0009075709],"category_scores_gemma":[0.001141341,0.0001141024,0.0002294752,0.0004704686,0.0006004388,0.00120657,0.000744794,0.0005740189,0.0001744914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005347517,"about_ca_system_score_gemma":0.0004880055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006028468,"about_ca_topic_score_gemma":0.0007321366,"domain_scores_codex":[0.9997469,0.0000558545,0.00001771037,0.00003750716,0.0001092319,0.00003275272],"domain_scores_gemma":[0.9992606,0.0002316185,0.0000927973,0.0001757502,0.0002078722,0.00003134737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002497371,0.000155732,0.001097645,0.0003813963,0.00005481183,0.000350006,0.0005761956,0.08289784,0.3417109,0.2369038,0.002194571,0.3334275],"study_design_scores_gemma":[0.0000612275,0.000391566,0.0006945701,0.00006842373,0.00007716658,0.0009425582,0.0001008171,0.7669514,0.1749238,0.0356237,0.02010736,0.00005739797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07390246,0.0006191822,0.9199454,0.0002660536,0.00009050075,0.00009811592,0.00003491831,0.0005380539,0.004505452],"genre_scores_gemma":[0.6877167,0.0005416082,0.30782,0.0001782203,0.00006216901,0.0001313099,0.00007227215,0.00006118941,0.003416569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009075709,"threshold_uncertainty_score":0.003879964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189667909516858,"score_gpt":0.1972328938073696,"score_spread":0.185336214712201,"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."}}