{"id":"W2158946816","doi":"10.1109/35.989779","title":"Building reliable MPLS networks using a path protection mechanism","year":2002,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada); Carleton University","funders":"","keywords":"Multiprotocol Label Switching; Computer science; Computer network; Path protection; Label switching; Scalability; Label Distribution Protocol; Path (computing); Distributed computing; Quality of service; Wavelength-division multiplexing; 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":[0.0004985014,0.0004336319,0.0002329579,0.0004397765,0.0004980495,0.0006051435,0.0007495407,0.0006708455,0.001107809],"category_scores_gemma":[0.001103892,0.0004960979,0.0002583949,0.0002215499,0.0004309271,0.001521073,0.0008966091,0.0007563597,0.0007382815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002387667,"about_ca_system_score_gemma":0.0004114762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004868662,"about_ca_topic_score_gemma":0.0004896543,"domain_scores_codex":[0.9997419,0.00004852472,0.00001417102,0.00003062848,0.0001399093,0.00002494013],"domain_scores_gemma":[0.9996259,0.00009578431,0.00004805455,0.0001261527,0.00007644234,0.00002765666],"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":[0.0002295516,0.0001752949,0.0009103315,0.0004166168,0.00007346,0.0008411654,0.0005682471,0.2572515,0.2940117,0.1533281,0.008670566,0.2835235],"study_design_scores_gemma":[0.0000938925,0.0003285513,0.0004942658,0.0000502916,0.00006580784,0.0004262707,0.00005941326,0.7449039,0.1292975,0.06256232,0.06165564,0.00006208407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06207944,0.000360542,0.926728,0.0005410855,0.0001077739,0.0001278025,0.00006613482,0.003667088,0.006322182],"genre_scores_gemma":[0.3880715,0.0007157616,0.6067582,0.0001887485,0.00008481656,0.00021043,0.0001475154,0.0001982358,0.003624879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001107809,"threshold_uncertainty_score":0.003705978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06483759328586391,"score_gpt":0.2706711704001492,"score_spread":0.2058335771142853,"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."}}