{"id":"W2158384349","doi":"10.1109/iscc.2011.5983852","title":"Analysis of impact of trust on Secure Border Gateway Protocol","year":2011,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Border Gateway Protocol; Computer network; Prefix; Path (computing); Overhead (engineering); Node (physics); Router; Digital signature; Routing protocol; Protocol (science); Default gateway; Distributed computing; Computer security; Routing (electronic design automation); Operating system; Hash function","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002800206,0.000137108,0.0004082657,0.000413958,0.00002272096,0.00001923123,0.0006426111,0.00006027089,0.00185889],"category_scores_gemma":[0.00001899586,0.00008826462,0.0005964422,0.001311358,0.00003712537,0.0001327959,0.00008284844,0.00008589974,0.00001098494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000214567,"about_ca_system_score_gemma":0.0000490333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000286014,"about_ca_topic_score_gemma":0.0001075959,"domain_scores_codex":[0.9987758,0.00005506283,0.0004325351,0.0002741885,0.0002732777,0.0001891054],"domain_scores_gemma":[0.9991009,0.00003257764,0.0002621243,0.0003618659,0.0001831135,0.00005941017],"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":[0.0002353752,0.002238671,0.0431401,0.0001021402,0.01131331,0.00002284098,0.02588291,0.04868111,0.000590647,0.848208,0.001837371,0.0177476],"study_design_scores_gemma":[0.000259032,0.0005256633,0.01821145,0.00001761098,0.0001960679,6.754709e-7,0.00008157551,0.977908,0.002552804,0.00001901404,0.00008336921,0.0001447165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4210817,0.000004680089,0.5067734,0.00002930831,0.00005627724,0.01062696,0.000009307747,0.0001209396,0.06129741],"genre_scores_gemma":[0.9958422,1.749557e-7,0.003137214,0.00002791418,0.000009793239,0.0006249978,0.000001658284,0.000004942705,0.0003511287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9292269,"threshold_uncertainty_score":0.9990535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02156156707044871,"score_gpt":0.3084081239235579,"score_spread":0.2868465568531092,"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."}}