{"id":"W4230368799","doi":"10.32920/ryerson.14651493","title":"Policy Disputes In BGP: Analysis, Detection And Proposed Solution","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Border Gateway Protocol; Default-free zone; Computer science; Routing protocol; Routing (electronic design automation); Computer network; Network mapping; Distance-vector routing protocol; The Internet; Distributed computing; Autonomous system (mathematics); Path vector protocol; Protocol (science); Static routing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002660021,0.0001768242,0.0003195798,0.0005094993,0.00006294229,0.0003756649,0.0003340723,0.0001936087,0.000007301559],"category_scores_gemma":[0.00003899604,0.0001654589,0.0001201463,0.001099574,0.00003227721,0.0001806157,0.0006172192,0.0003263253,0.000002387607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008887732,"about_ca_system_score_gemma":0.0002207051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008124229,"about_ca_topic_score_gemma":0.004243854,"domain_scores_codex":[0.9985353,0.0001238024,0.0002715538,0.0006524871,0.0001901414,0.0002267209],"domain_scores_gemma":[0.9991885,0.00005744947,0.0001064171,0.0004874494,0.00008141435,0.00007871726],"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":[0.000007147014,0.00006942124,0.001643038,0.00003475736,0.000248001,0.00001537066,0.0003327046,0.01268419,0.0002585595,0.01488143,0.00001643137,0.9698089],"study_design_scores_gemma":[0.0002203591,0.0000168298,0.02177216,0.00002772194,0.00007083672,0.000002874084,0.00001815306,0.9758028,0.0001500892,0.001677394,0.00004358432,0.0001971435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03636697,0.0004344996,0.959864,0.002204383,0.0002575854,0.000221862,7.844212e-7,0.0001760553,0.0004738242],"genre_scores_gemma":[0.9898292,0.000163337,0.009461022,0.0001734913,0.0001454408,0.00002034966,0.00001155827,0.000004969966,0.0001906556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9696118,"threshold_uncertainty_score":0.674722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008206067280736388,"score_gpt":0.2344970049512897,"score_spread":0.2262909376705533,"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."}}