{"id":"W2077951103","doi":"10.1007/s10922-013-9276-2","title":"Distributed Schemes for Routing Table Management in Next Generation Routers","year":2013,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer network; Routing table; Scalability; Router; Distributed computing; Routing domain; Policy-based routing; Routing protocol; Routing (electronic design automation); Forwarding plane; Static routing; Operating system; Network packet","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":[0.0008684827,0.0001304142,0.0002586492,0.0001065034,0.0001178264,0.0005579488,0.0003180886,0.00003725959,0.000002234517],"category_scores_gemma":[0.000004042364,0.000109312,0.0000577284,0.0002756219,0.00001064137,0.0006058654,0.0001038935,0.00008381108,0.000002936246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007035986,"about_ca_system_score_gemma":0.000009113316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008722883,"about_ca_topic_score_gemma":0.000002682574,"domain_scores_codex":[0.9985653,0.00007524947,0.0006117194,0.0001987415,0.0002303041,0.000318677],"domain_scores_gemma":[0.9992225,0.00005125533,0.0003542134,0.0001788943,0.0001082472,0.00008492164],"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":[0.00002329886,0.00007393547,0.0009723217,0.0001460347,0.000348183,0.00005476899,0.0001173737,0.1969646,0.00001603168,0.1896001,0.05650654,0.5551769],"study_design_scores_gemma":[0.001194343,0.00007539953,0.0009243159,0.0001916218,0.00003406792,0.00001520139,0.0002463438,0.9574339,6.977601e-7,0.0004281795,0.03932459,0.000131312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01417775,0.001753633,0.9806615,0.0008170155,0.001271569,0.000821691,5.25316e-7,0.00002345886,0.000472836],"genre_scores_gemma":[0.9815008,0.000344698,0.01670787,0.0001808188,0.0006427004,0.00009684553,0.000003389018,0.00000752406,0.0005153727],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.967323,"threshold_uncertainty_score":0.5380313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747669519445807,"score_gpt":0.2267361124203295,"score_spread":0.1992594172258714,"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."}}