{"id":"W1927555499","doi":"10.1109/tst.2015.7128934","title":"On scaling software-Defined Networking in wide-area networks","year":2015,"lang":"en","type":"article","venue":"Tsinghua Science & Technology","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Software-defined networking; Computer science; Scaling; Software; Computer network; Operating system; Mathematics; Geometry","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":[0.002606333,0.0008815369,0.0006941682,0.001663732,0.001100404,0.002793623,0.001286075,0.00151547,0.002295119],"category_scores_gemma":[0.00812886,0.0004793987,0.0004898606,0.002773655,0.001934458,0.009291717,0.001888481,0.002292498,0.000598276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493503,"about_ca_system_score_gemma":0.001082869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008378126,"about_ca_topic_score_gemma":0.0007613407,"domain_scores_codex":[0.9982314,0.0004975342,0.0001181304,0.000219116,0.0007840689,0.0001497795],"domain_scores_gemma":[0.9957703,0.002721718,0.0002795336,0.000438846,0.0006699123,0.0001195879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003155963,0.00005100014,0.0007279268,0.0008433943,0.00003062431,0.0002130755,0.0004214107,0.03101956,0.004028638,0.7645553,0.005317633,0.1927598],"study_design_scores_gemma":[0.0000299227,0.0002086874,0.000839972,0.001022009,0.00006153938,0.0005361526,0.0005152514,0.1758785,0.005837469,0.6502348,0.1647606,0.00007507129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03273352,0.1783198,0.6634809,0.01685321,0.002791555,0.0002498878,0.0001007598,0.000659725,0.1048107],"genre_scores_gemma":[0.5126152,0.2493162,0.2172141,0.003330628,0.0049579,0.0006521426,0.0002043074,0.0002450463,0.01146459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002793623,"threshold_uncertainty_score":0.01378375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621502048607532,"score_gpt":0.2532766395334496,"score_spread":0.2270616190473743,"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."}}