{"id":"W2138656000","doi":"10.1109/innovations.2006.301902","title":"A Novel Approach for Fault Tolerance in MPLS Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Multiprotocol Label Switching; Computer network; Computer science; Quality of service; Survivability; Packet loss; Fault tolerance; Distributed computing; Path protection; Network packet; Wavelength-division multiplexing","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":[0.0002218822,0.0002921695,0.0003158203,0.0004237716,0.0007602785,0.0007518532,0.001122009,0.0007413165,0.001547056],"category_scores_gemma":[0.0004943068,0.0001521634,0.0003709359,0.0003720814,0.0005349278,0.001317753,0.0009797955,0.0007459266,0.0004343006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005731841,"about_ca_system_score_gemma":0.0005610128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006455287,"about_ca_topic_score_gemma":0.0007411891,"domain_scores_codex":[0.9996612,0.00003633285,0.00001401824,0.00004734789,0.0002053947,0.00003558362],"domain_scores_gemma":[0.9998356,0.00003035254,0.00001944168,0.00003568132,0.00006214149,0.00001685384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001253996,0.0001897303,0.0005440933,0.0002740754,0.00005772418,0.0006458339,0.0004864312,0.09327594,0.1156264,0.4077612,0.0067849,0.3742284],"study_design_scores_gemma":[0.00003675816,0.0001911944,0.0002968702,0.00003505993,0.00003528807,0.001042058,0.0001024613,0.7834283,0.04289182,0.1161037,0.05578852,0.00004802538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01044962,0.0003959621,0.9819218,0.0003658964,0.0001472644,0.00005552785,0.00002027392,0.0004295632,0.006214099],"genre_scores_gemma":[0.3524702,0.0009138326,0.6316683,0.0004907785,0.0002210526,0.0001587759,0.00007547125,0.0001122833,0.01388933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001547056,"threshold_uncertainty_score":0.005175471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067773621638188,"score_gpt":0.2132269685666211,"score_spread":0.2025492323502392,"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."}}