{"id":"W2099389817","doi":"","title":"BGP ROUTE FLAP DAMPING ALGORITHMS","year":2006,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Computer science; Algorithm; Stability (learning theory); Routing (electronic design automation); Computer network; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001348961,0.0004406998,0.0004369978,0.0005690681,0.0003515188,0.0002217611,0.001766248,0.0004479884,0.0000481329],"category_scores_gemma":[0.00001108775,0.0005298586,0.0002750981,0.00109347,0.00003992023,0.000676123,0.0001221301,0.0005487842,0.0002413636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002198914,"about_ca_system_score_gemma":0.0003140182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002455935,"about_ca_topic_score_gemma":0.03599041,"domain_scores_codex":[0.9977242,0.0001182674,0.000279328,0.000891301,0.000458163,0.0005287127],"domain_scores_gemma":[0.9984558,0.0001012591,0.0002858822,0.0007380261,0.0002283317,0.0001907652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001500444,0.0002526786,0.01424098,0.0001330518,0.0003745795,0.001496377,0.0001084425,0.002987895,0.000006494817,0.05427243,0.1627641,0.7632129],"study_design_scores_gemma":[0.001839272,0.0001029912,0.001071445,0.0002668487,0.0002192052,2.569442e-8,0.003025162,0.05494618,0.0002404681,0.0005404755,0.9363677,0.001380235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07649877,0.002530047,0.5929615,0.00124006,0.01417536,0.001890814,0.0001155278,0.005594843,0.304993],"genre_scores_gemma":[0.5537806,0.000396905,0.01103815,0.0005640915,0.001552482,0.00001013544,0.001701555,0.0001961202,0.43076],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7736036,"threshold_uncertainty_score":0.9997153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008611446838414477,"score_gpt":0.2030104465996226,"score_spread":0.1943989997612081,"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."}}