{"id":"W2388646937","doi":"","title":"A Framework and Critical Algorithm of Interdomain Egress Selection Optimization Based on Link States","year":2007,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Border Gateway Protocol; Computer science; Default-free zone; Computer network; Distributed computing; Interior gateway protocol; Router; Routing protocol; Routing (electronic design automation); IP forwarding; Selection (genetic algorithm); Path vector protocol; Link (geometry); The Internet; State (computer science); Protocol (science); Link-state routing protocol; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.0003672108,0.00007978101,0.0001017531,0.00009199868,0.00005598084,0.0000557288,0.0001255808,0.00007680311,0.00003019748],"category_scores_gemma":[0.00008334977,0.00006917007,0.00002326719,0.0002495559,0.00005171117,0.0001220525,0.00002502816,0.000120015,0.000001981021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001618109,"about_ca_system_score_gemma":0.00002160729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004661602,"about_ca_topic_score_gemma":0.000003026215,"domain_scores_codex":[0.9992487,0.00004664145,0.000177924,0.000205687,0.0001600874,0.0001609738],"domain_scores_gemma":[0.9988831,0.0007652784,0.00003653193,0.0001268914,0.0001147248,0.000073472],"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":[0.0000346359,0.00007168289,0.0001442612,0.000007928256,0.000006983465,0.000004237124,0.0001282493,0.133977,0.000005792661,0.06204086,0.0001690518,0.8034093],"study_design_scores_gemma":[0.0002332135,0.0002201164,0.0001352875,0.00004489706,0.000004253797,0.000003030701,0.00001968794,0.9970517,0.0002197952,0.001903201,0.00008921378,0.00007566666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003251046,0.00003242581,0.9971572,0.00166055,0.0002143258,0.00007752089,7.040376e-7,0.0001102279,0.0004219842],"genre_scores_gemma":[0.5160349,0.000004055061,0.4833525,0.0005163284,0.000062421,0.000002458464,9.927319e-7,0.000003223596,0.00002313264],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8630746,"threshold_uncertainty_score":0.2820674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006779714762944549,"score_gpt":0.2602439008942449,"score_spread":0.2534641861313004,"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."}}