{"id":"W2169813676","doi":"","title":"On distributed robust routing for transportation networks under local information constraints","year":2011,"lang":"en","type":"article","venue":"Lund University Publications (Lund University)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Computer science; Routing (electronic design automation); Computer network; Distributed computing; Static routing; Policy-based routing; Routing protocol","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":[0.00450416,0.002561006,0.003868553,0.001680863,0.001044876,0.002410856,0.003432009,0.002842404,0.006527355],"category_scores_gemma":[0.01694239,0.001176552,0.001818999,0.002682913,0.002493676,0.005345953,0.003951079,0.002733165,0.0007606967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002604419,"about_ca_system_score_gemma":0.00167593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004423407,"about_ca_topic_score_gemma":0.003424359,"domain_scores_codex":[0.9972128,0.00106553,0.0001793749,0.0006330595,0.0006191985,0.0002900318],"domain_scores_gemma":[0.9893986,0.007945711,0.0006125825,0.001036938,0.0007570385,0.0002490215],"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":[0.0002478765,0.00005268981,0.0001818613,0.000170468,0.0001033244,0.00008886265,0.00007693934,0.9194615,0.001119356,0.04744854,0.003147453,0.02790106],"study_design_scores_gemma":[0.00002542394,0.00004391322,0.00006785676,0.00001517868,0.00001975556,0.0000169401,0.00001815942,0.9501645,0.0003311044,0.04851757,0.0007683978,0.00001117297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006883732,0.0006051387,0.9886348,0.0004932996,0.0001391583,0.00008076345,0.0001212817,0.0001919857,0.002849745],"genre_scores_gemma":[0.5628951,0.002839441,0.4160151,0.0006185341,0.0008316154,0.0006251354,0.001076752,0.0008640957,0.01423424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006527355,"threshold_uncertainty_score":0.02382058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472950949099545,"score_gpt":0.1785706005424823,"score_spread":0.1538410910514869,"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."}}