{"id":"W4293863210","doi":"10.1109/siu55565.2022.9864929","title":"Application Based Network Traffic Dataset and SPID Analysis","year":2022,"lang":"en","type":"article","venue":"2022 30th Signal Processing and Communications Applications Conference (SIU)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Computer science; Computer network","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":[0.0006312305,0.001170408,0.000633104,0.005154857,0.0006180942,0.0006504256,0.001008015,0.0009798313,0.002605794],"category_scores_gemma":[0.00171658,0.0001998228,0.000652753,0.003737809,0.0002675211,0.000844487,0.0006589753,0.001093574,0.002932893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006924777,"about_ca_system_score_gemma":0.0009030182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007385348,"about_ca_topic_score_gemma":0.008887297,"domain_scores_codex":[0.9990389,0.00007877523,0.0001123252,0.0001756068,0.0004479034,0.0001464349],"domain_scores_gemma":[0.9988374,0.0001027356,0.00009441625,0.000248551,0.0006088079,0.0001081192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009899073,0.003834069,0.07522942,0.0018481,0.0003350981,0.002059495,0.0004589395,0.05326207,0.04638327,0.006451929,0.5086889,0.3004588],"study_design_scores_gemma":[0.0001902045,0.000989726,0.2577407,0.0002118735,0.0001530837,0.002853312,0.001278564,0.3579722,0.04888234,0.005422337,0.3239703,0.0003352643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.332251,0.0005949244,0.0244942,0.0008080793,0.0004868403,0.001131271,0.6064504,0.01791894,0.01586445],"genre_scores_gemma":[0.1869853,0.0003997897,0.01618437,0.0001218279,0.00009512689,0.0008362664,0.7914182,0.0002487192,0.003710423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007385348,"threshold_uncertainty_score":0.01468474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203331930400992,"score_gpt":0.2627220628942525,"score_spread":0.2406887435902426,"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."}}