{"id":"W1562265786","doi":"10.1109/pacrim.2003.1235814","title":"A traffic engineered routing algorithm based on fuzzy logic","year":2004,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Static routing; Multipath routing; Link-state routing protocol; Routing (electronic design automation); Destination-Sequenced Distance Vector routing; Dijkstra's algorithm; Equal-cost multi-path routing; Distance-vector routing protocol; Policy-based routing; Fuzzy logic; Suurballe's algorithm; Dynamic Source Routing; Algorithm; Routing algorithm; Distributed computing; Routing protocol; Theoretical computer science; Computer network; Shortest path problem; Artificial intelligence","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":[0.0004283577,0.000410291,0.0003507235,0.0007156957,0.0006503366,0.0006372076,0.0008521467,0.0007115391,0.002313983],"category_scores_gemma":[0.001065512,0.0001713409,0.0003880966,0.0004027439,0.0004381383,0.000834064,0.0004394035,0.0006196727,0.0003421282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008661526,"about_ca_system_score_gemma":0.0009804603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003313265,"about_ca_topic_score_gemma":0.003034823,"domain_scores_codex":[0.9997182,0.00004095282,0.00002001353,0.00006586147,0.0001235499,0.00003132783],"domain_scores_gemma":[0.9997314,0.0001008071,0.00002398902,0.00002517974,0.0001045416,0.00001411121],"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":[0.0001651854,0.0001630145,0.000755068,0.0001374198,0.0000504715,0.0001691141,0.000138873,0.330718,0.03880348,0.1023921,0.004581517,0.5219257],"study_design_scores_gemma":[0.00004034201,0.00006478219,0.0001190347,0.00001653471,0.00002258921,0.0001172387,0.00001617343,0.9678533,0.01022018,0.01556148,0.005949626,0.00001867525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007709743,0.0000642122,0.988612,0.00009908772,0.00004957909,0.00004785011,0.00002662843,0.0004924168,0.00289843],"genre_scores_gemma":[0.1894102,0.0001453197,0.8066762,0.0001158213,0.00002479618,0.00009969463,0.0001033806,0.00006041863,0.003364152],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003313265,"threshold_uncertainty_score":0.007741034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701521044887948,"score_gpt":0.2728558046619393,"score_spread":0.2458405942130598,"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."}}