{"id":"W4396982215","doi":"10.1109/tnsm.2024.3402074","title":"A Machine Learning-Based Toolbox for P4 Programmable Data-Planes","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Toolbox; Computer architecture; Artificial intelligence; Programming language","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":[0.0006875332,0.0009841673,0.000354127,0.0005881411,0.0002930659,0.0009172352,0.002591041,0.000579229,0.007092075],"category_scores_gemma":[0.002702833,0.0003850994,0.0003533706,0.0003944369,0.0006274966,0.00153933,0.0009643372,0.001804468,0.001963027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00069794,"about_ca_system_score_gemma":0.00129947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434094,"about_ca_topic_score_gemma":0.001840545,"domain_scores_codex":[0.9995555,0.00008091512,0.0000377552,0.0001020719,0.0001720094,0.00005162217],"domain_scores_gemma":[0.9992531,0.00024542,0.00007957566,0.0002033179,0.0001690006,0.00004957282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006441876,0.0003885854,0.004302407,0.0005405326,0.000123385,0.0004989949,0.000304608,0.3931688,0.05643361,0.07466841,0.02732365,0.4416028],"study_design_scores_gemma":[0.00003252204,0.00007965785,0.000229392,0.0000229846,0.00001068192,0.00009620252,0.00001403572,0.9594362,0.02197764,0.005853117,0.01222903,0.00001849078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01210864,0.0001180152,0.9603415,0.0002048996,0.000064874,0.0001261283,0.0002019597,0.02327748,0.003556528],"genre_scores_gemma":[0.5625396,0.0002132722,0.4292237,0.0003654935,0.00005446068,0.000364038,0.0007008837,0.0009820078,0.005556534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007092075,"threshold_uncertainty_score":0.02372539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303931375915281,"score_gpt":0.2448777733739632,"score_spread":0.2218384596148104,"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."}}