{"id":"W2118009608","doi":"10.1109/lcn.2010.5735761","title":"A distributed parallel approach for BGP routing table partitioning in next generation routers","year":2010,"lang":"en","type":"article","venue":"","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Routing table; Scalability; Border Gateway Protocol; Default-free zone; Computer network; Distributed computing; Routing (electronic design automation); Static routing; Routing protocol; Parallel computing; Operating system","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":[0.0003909626,0.00008953737,0.00009726701,0.00004853908,0.0002028457,0.0005107213,0.000225323,0.00006799668,0.000003985992],"category_scores_gemma":[0.00005619378,0.00008455077,0.00002444473,0.0003942312,0.00001479266,0.000921917,0.00004487444,0.00011519,0.000001767457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001804065,"about_ca_system_score_gemma":0.00004950379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002966139,"about_ca_topic_score_gemma":0.00007696193,"domain_scores_codex":[0.9991179,0.00002327852,0.0002012286,0.0002998768,0.00009702417,0.00026072],"domain_scores_gemma":[0.9995778,0.00003481781,0.00007426793,0.0001946176,0.00007152873,0.0000470248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008896004,0.0001256204,0.003029019,0.00002185544,0.000007687237,9.451198e-7,0.0006234156,0.8911772,0.003835201,0.08122094,0.002288975,0.01766026],"study_design_scores_gemma":[0.0003374082,0.00001362375,0.0001473966,0.000006280658,0.000002109543,0.000002531144,0.00002753573,0.9980732,0.0004804726,0.0005696637,0.0002224656,0.0001173089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008461184,0.00001345955,0.9898728,0.0002642643,0.0002033682,0.0001776078,0.000001366984,0.0001359899,0.000869962],"genre_scores_gemma":[0.5343824,0.00000148307,0.4651451,0.00009627981,0.0001032715,0.00005499339,0.0001116569,0.000004402114,0.0001004716],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5259212,"threshold_uncertainty_score":0.4924897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03951946168375556,"score_gpt":0.2490888926050745,"score_spread":0.2095694309213189,"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."}}