{"id":"W4248634712","doi":"10.1109/iscas.2014.6865610","title":"Deflection routing in complex networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Deflection routing; Computer science; Network topology; Deflection (physics); Reinforcement learning; Scalability; Distributed computing; Computer network; Hierarchical routing; Static routing; The Internet; Routing protocol; Topology (electrical circuits); Routing (electronic design automation); Artificial intelligence; Engineering; Physics","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":[0.001139292,0.0003890125,0.0003717111,0.0005012096,0.0004679249,0.0009643996,0.000513714,0.0006471411,0.001360936],"category_scores_gemma":[0.004091836,0.0002118951,0.0001802893,0.0005720069,0.0009331627,0.001424451,0.0007456789,0.0006285647,0.0001884669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007594906,"about_ca_system_score_gemma":0.0003454012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491865,"about_ca_topic_score_gemma":0.0009483728,"domain_scores_codex":[0.9995803,0.0001721371,0.00002004202,0.00005989419,0.0001227807,0.00004485653],"domain_scores_gemma":[0.9979104,0.001264709,0.0002326215,0.0002655704,0.0002435831,0.00008307517],"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":[0.0001048604,0.00005113861,0.001444037,0.00007087336,0.00003335831,0.00006824423,0.00007872254,0.9094804,0.008825483,0.02926705,0.0008996366,0.04967616],"study_design_scores_gemma":[0.00001390147,0.00004908044,0.0004360418,0.00000707854,0.000005902295,0.0000381916,0.00002211248,0.9712314,0.001570633,0.02554275,0.001072453,0.00001036165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2670639,0.001932507,0.7227165,0.0007648107,0.0001436779,0.0001294455,0.0001094176,0.0006796898,0.006459984],"genre_scores_gemma":[0.9492546,0.0008171983,0.04847649,0.00009264729,0.00003157937,0.00005778169,0.00006675439,0.00004119185,0.001161814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001491865,"threshold_uncertainty_score":0.006025255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317685002811909,"score_gpt":0.2224457246683406,"score_spread":0.2092688746402215,"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."}}