{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007846219,0.0001999231,0.0002586786,0.0002958007,0.003348154,0.0004281868,0.001752917,0.00006375561,0.00009352025],"category_scores_gemma":[0.000005666338,0.0002257006,0.00005636735,0.003008769,0.000252146,0.0004071397,0.001178617,0.0005140809,0.000007452574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005652522,"about_ca_system_score_gemma":0.0001929502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005406563,"about_ca_topic_score_gemma":0.0000751788,"domain_scores_codex":[0.9980147,0.0002997752,0.0004213926,0.0006554186,0.0003264303,0.0002822355],"domain_scores_gemma":[0.9974267,0.0001976635,0.0003146792,0.001764275,0.0001554274,0.0001411781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001618327,0.0003093247,0.0003685307,0.00003927413,0.0000836429,4.330282e-7,0.0004444388,0.02273376,0.000348307,0.06390344,0.001286861,0.9104658],"study_design_scores_gemma":[0.0001753685,0.00005463742,0.0005643105,0.000007171904,0.000126283,0.00000904423,0.0001649912,0.8681785,0.00001342912,0.003742979,0.1267255,0.0002378003],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001962238,0.003272078,0.9900366,0.003307871,0.00001719694,0.0005798766,0.0001581504,0.0002370834,0.0004288904],"genre_scores_gemma":[0.9712134,0.0003938151,0.02421905,0.0006496781,0.00004299167,0.002092857,0.001333368,0.00001199668,0.00004283796],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9692512,"threshold_uncertainty_score":0.9979494,"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."}}