{"id":"W3190870263","doi":"10.3390/e23081011","title":"A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis","year":2021,"lang":"en","type":"article","venue":"Entropy","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Troubleshooting; Tracing; Computer science; TRACE (psycholinguistics); Anomaly detection; Software; Process (computing); System call; Data mining; Distributed computing; Real-time computing; 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":[0.003655521,0.001975328,0.001284907,0.00807418,0.0009594726,0.001998408,0.002345407,0.001302237,0.000800619],"category_scores_gemma":[0.01031834,0.000728879,0.001931099,0.002747789,0.001317312,0.002386327,0.00189647,0.002196823,0.0004679666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233766,"about_ca_system_score_gemma":0.002488531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009148357,"about_ca_topic_score_gemma":0.00832441,"domain_scores_codex":[0.9971175,0.0005977896,0.0002670639,0.0007312479,0.001093191,0.0001931037],"domain_scores_gemma":[0.9948992,0.002307262,0.0009667504,0.0007492562,0.0008349435,0.0002425724],"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":[0.0003707982,0.0010583,0.0404728,0.0006556601,0.0007000544,0.0008720423,0.001318387,0.3256836,0.03652995,0.04813462,0.009632439,0.5345714],"study_design_scores_gemma":[0.00002008607,0.0001036063,0.003083551,0.00004551108,0.00005262854,0.0002356428,0.00006762899,0.960916,0.006638405,0.02484892,0.003932679,0.0000552501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004183404,0.0001324376,0.9891891,0.0001309082,0.00001429063,0.0001041681,0.0003005571,0.005706818,0.0002382251],"genre_scores_gemma":[0.173562,0.000225527,0.8233203,0.0001101889,0.0000790882,0.0003242508,0.001425292,0.0003163428,0.0006369805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009148357,"threshold_uncertainty_score":0.01933247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0512166850195844,"score_gpt":0.3042547942515371,"score_spread":0.2530381092319527,"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."}}