{"id":"W3040197085","doi":"10.1016/j.icte.2020.06.003","title":"Unsupervised log message anomaly detection","year":2020,"lang":"en","type":"article","venue":"ICT Express","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Autoencoder; Anomaly detection; Anomaly (physics); Isolation (microbiology); Computer science; Artificial intelligence; Data mining; Pattern recognition (psychology); Feature (linguistics); Deep learning; Bioinformatics; Biology","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":[0.0004813071,0.000841305,0.0007620993,0.001464686,0.0002978596,0.0005235391,0.001226974,0.00069432,0.0006910148],"category_scores_gemma":[0.002051176,0.0002022667,0.0005059798,0.0008077426,0.0004098936,0.001181853,0.0007260159,0.001024227,0.0005416772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004686186,"about_ca_system_score_gemma":0.0006798095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004389571,"about_ca_topic_score_gemma":0.006105529,"domain_scores_codex":[0.9994071,0.00006581919,0.00002766195,0.0001761829,0.0002223222,0.0001009821],"domain_scores_gemma":[0.9989082,0.0003224336,0.0001895591,0.0001528633,0.0003734382,0.00005357406],"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":[0.0006895956,0.0006430577,0.06732953,0.0001577392,0.0001511859,0.0005830762,0.0002241943,0.1498961,0.03723845,0.003053799,0.01186139,0.7281718],"study_design_scores_gemma":[0.000005941223,0.00005010267,0.006474536,0.000006146284,0.00001280947,0.0001508231,0.00003237186,0.9823877,0.007815258,0.001703543,0.001349655,0.00001109531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3263946,0.000746977,0.6592224,0.0004787268,0.0001999467,0.0002064348,0.001296356,0.008724423,0.002730129],"genre_scores_gemma":[0.933204,0.0001905025,0.06061726,0.0001006637,0.00009095012,0.00008103517,0.002160721,0.0001192546,0.003435518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004389571,"threshold_uncertainty_score":0.008728087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949720597244098,"score_gpt":0.2290677601710361,"score_spread":0.2095705541985951,"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."}}