{"id":"W2147310409","doi":"10.1109/mnet.2008.4476065","title":"A distributed and scalable routing table manager for the next generation of IP routers","year":2008,"lang":"en","type":"article","venue":"IEEE Network","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network; Routing table; IP forwarding; Scalability; Routing (electronic design automation); Virtual routing and forwarding; Table (database); Routing protocol; Next-generation network; Distributed computing; The Internet; Operating system; Database","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":[0.0009598813,0.0003375635,0.0004631467,0.0004684995,0.0005582649,0.001245892,0.001604837,0.0005156197,0.002126274],"category_scores_gemma":[0.001159514,0.0002758311,0.000301355,0.0004118754,0.0002581171,0.001644371,0.0006874262,0.0006609594,0.0007102073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006692318,"about_ca_system_score_gemma":0.001118562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417795,"about_ca_topic_score_gemma":0.001866357,"domain_scores_codex":[0.9994453,0.00008880979,0.00004326757,0.0001285823,0.0002452093,0.00004889485],"domain_scores_gemma":[0.9993076,0.0001014965,0.00007493787,0.000198384,0.0002253779,0.00009214079],"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":[0.0009678252,0.0004185359,0.003519413,0.0003019478,0.0001768114,0.0005728695,0.0002962641,0.07122213,0.1753344,0.06095662,0.04145981,0.6447734],"study_design_scores_gemma":[0.0003366173,0.000729946,0.00274646,0.00003934961,0.0002103023,0.001021731,0.0001242717,0.8316978,0.05936695,0.01329147,0.09031322,0.0001218691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04129736,0.001304538,0.9393452,0.000584031,0.0002903943,0.0002350212,0.0001944615,0.01041007,0.006338871],"genre_scores_gemma":[0.4459584,0.0005436302,0.5423588,0.0002727038,0.0003170873,0.0002328929,0.0007311808,0.0002221912,0.009363127],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002126274,"threshold_uncertainty_score":0.007113099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05379302327859042,"score_gpt":0.2393142486921036,"score_spread":0.1855212254135132,"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."}}