{"id":"W3212734282","doi":"","title":"Adaptive User Profiling with Online Incremental Machine Learning for Security Information and Event Management","year":2021,"lang":"en","type":"article","venue":"International Conference on Emerging Security Information, Systems and Technologies","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; University of New Brunswick","funders":"","keywords":"Profiling (computer programming); Computer science; Operating system","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":[0.00135123,0.0006790325,0.001207001,0.001161556,0.0004809311,0.0007644857,0.001640055,0.0006880551,0.001147376],"category_scores_gemma":[0.004097615,0.0003121869,0.0004846044,0.0008505231,0.0002247898,0.001663196,0.001015777,0.001333316,0.0005898646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004772255,"about_ca_system_score_gemma":0.0008037484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004351522,"about_ca_topic_score_gemma":0.007080018,"domain_scores_codex":[0.9989237,0.0003075554,0.00006953912,0.0003003567,0.0002316517,0.000167183],"domain_scores_gemma":[0.9976077,0.001283532,0.0001537609,0.0003867052,0.0004271437,0.0001411311],"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":[0.0007621315,0.001986242,0.02001744,0.00009524722,0.0001838156,0.0001890361,0.0001505272,0.111975,0.009630763,0.00201202,0.008337616,0.8446602],"study_design_scores_gemma":[0.000004609899,0.00003947719,0.0008785122,0.000002037366,0.00001021808,0.00002202618,0.00001054312,0.996803,0.001114995,0.0008753631,0.0002338229,0.000005350234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1598338,0.001043258,0.8295535,0.0004888807,0.0003366345,0.0001613834,0.0004590264,0.006484042,0.001639388],"genre_scores_gemma":[0.9259623,0.0001051218,0.07196695,0.0001207605,0.00008696103,0.00007133995,0.0004187081,0.00005515563,0.00121282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004351522,"threshold_uncertainty_score":0.008652389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448847842545333,"score_gpt":0.2465510518762733,"score_spread":0.23206257345082,"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."}}