{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003873518,0.0002250369,0.000447853,0.0003271245,0.0004208291,0.00002841967,0.001930387,0.00008307677,0.000394306],"category_scores_gemma":[0.00004795602,0.0002808328,0.0001096083,0.001332411,0.000203876,0.0009726938,0.001070115,0.0004486755,0.00005036164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003072809,"about_ca_system_score_gemma":0.0006785025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003941508,"about_ca_topic_score_gemma":0.01210641,"domain_scores_codex":[0.9979172,0.0003823561,0.0001892512,0.0005471025,0.0002934364,0.0006706035],"domain_scores_gemma":[0.9980407,0.0003237352,0.0002364957,0.0008158594,0.0002616219,0.0003215298],"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":[0.002174223,0.001087034,0.06049664,0.0002268026,0.0006412413,0.00009912724,0.03700382,0.01454687,0.02040232,0.1771529,0.04986363,0.6363054],"study_design_scores_gemma":[0.01497045,0.002993994,0.3033392,0.002928464,0.0002279495,0.0000783335,0.009123303,0.5246784,0.001005952,0.0245346,0.1125165,0.003602907],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2087188,0.0002201044,0.7811772,0.00331537,0.00003761355,0.0006409515,0.000004992679,0.0001101746,0.005774765],"genre_scores_gemma":[0.8045086,0.0007299643,0.1939819,0.0001348284,0.00001684812,1.788604e-7,0.00001400064,0.00001222684,0.0006015032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6327025,"threshold_uncertainty_score":0.9999644,"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."}}