{"id":"W2774424149","doi":"10.1145/3148055.3148076","title":"An Imputation-based Augmented Anomaly Detection from Large Traces of Operating System Events","year":2017,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Debugging; Real-time operating system; Embedded system; Embedded operating system; Software; Operating system; Anomaly detection; Real-time computing","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":[0.0002040801,0.00008793549,0.0001156156,0.00006112295,0.0006183205,0.0001770051,0.0006697527,0.00005578412,0.00001416843],"category_scores_gemma":[0.00001286775,0.00008067418,0.00005027415,0.00008817394,0.00001707632,0.0006089552,0.00005639665,0.00005345488,0.00000900125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003821076,"about_ca_system_score_gemma":0.00003257862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030267,"about_ca_topic_score_gemma":0.0001451967,"domain_scores_codex":[0.9991592,0.00004303023,0.0002478243,0.0002823042,0.0001473885,0.0001202443],"domain_scores_gemma":[0.9987653,0.00002741892,0.0002747884,0.0007645163,0.0001130301,0.00005497819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003544238,0.001103218,0.06192089,0.0001348029,0.0001226742,0.00000721574,0.0008845195,0.003574343,0.5943117,0.06187692,0.00008452964,0.2759438],"study_design_scores_gemma":[0.0002369309,0.0000880672,0.03446874,0.00001865625,0.000005333981,9.300305e-7,0.00007961676,0.7038367,0.2609511,0.0001819581,0.0000448878,0.00008709671],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.356966,0.000003845478,0.6421772,0.00005419101,0.00005429611,0.0001366306,0.000008853054,0.0002390706,0.0003599089],"genre_scores_gemma":[0.9378932,4.787997e-7,0.06194081,0.00002875912,0.00003105142,0.00005619782,0.000005599603,0.000006139154,0.00003780267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7002624,"threshold_uncertainty_score":0.4755684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107826286042313,"score_gpt":0.2796311382725046,"score_spread":0.2685528754120814,"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."}}