{"id":"W2946132891","doi":"10.1145/3323933.3324085","title":"System performance anomaly detection using tracing data analysis","year":2019,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Anomaly detection; Tracing; System call; Sliding window protocol; Reliability (semiconductor); Real-time computing; Anomaly (physics); Data mining; Data stream mining; Window (computing); Support vector machine; Distributed computing; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004453061,0.00008676431,0.0001515151,0.000241628,0.0001688329,0.0001660832,0.0007176235,0.00005545975,0.00004183026],"category_scores_gemma":[0.000003967023,0.00007841618,0.00005269675,0.001501321,0.000007490014,0.001672525,0.0003221157,0.000102539,0.0001114185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006990795,"about_ca_system_score_gemma":0.00001761643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002122539,"about_ca_topic_score_gemma":0.0001048753,"domain_scores_codex":[0.9989212,0.00005076162,0.000199817,0.0004425059,0.0002080915,0.0001776416],"domain_scores_gemma":[0.9986513,0.00002383906,0.00008917475,0.001148789,0.00004428513,0.00004266989],"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":[0.00009029983,0.0001679226,0.07185056,0.0005963766,0.001262824,0.00001780375,0.001355746,0.300471,0.04397913,0.01176893,0.00009056565,0.5683488],"study_design_scores_gemma":[0.00007499243,0.0000373681,0.004272927,0.00001587938,0.00005042961,0.00002211326,0.00003483867,0.9903688,0.004763129,0.000005496647,0.0002449457,0.0001090505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5210252,0.00001723935,0.477224,0.000006369638,0.0003300035,0.00005401714,4.129907e-7,0.0001354653,0.001207276],"genre_scores_gemma":[0.9898926,0.000005100889,0.009872648,0.00003059115,0.00007642031,9.771292e-7,0.000002752803,0.000003892642,0.0001150382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6898978,"threshold_uncertainty_score":0.3197719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02635269148997074,"score_gpt":0.2365895035806642,"score_spread":0.2102368120906935,"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."}}