{"id":"W2023364339","doi":"10.1109/dsnw.2010.5542621","title":"Fast entropy based alert detection in super computer logs","year":2010,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Sandia National Laboratories; National Institute for Materials Science; Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Downtime; Computer science; Entropy (arrow of time); Data mining; Search engine indexing; Real-time computing; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003197835,0.0001015429,0.0001208477,0.0001067772,0.00005722166,0.00007389436,0.0003958794,0.0001011953,0.00008423162],"category_scores_gemma":[0.00001278737,0.00007522349,0.00005265247,0.0002726949,0.00003512111,0.0003726606,0.0000828488,0.0002171072,0.0002055514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002775624,"about_ca_system_score_gemma":0.00004370023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001796591,"about_ca_topic_score_gemma":0.0003976135,"domain_scores_codex":[0.9990516,0.00003799275,0.0002025854,0.0003112979,0.0001716155,0.0002248907],"domain_scores_gemma":[0.999285,0.00006168577,0.00002672236,0.000509216,0.00005582932,0.00006148188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002868581,0.0004571615,0.4820417,0.00009399723,0.0000135223,0.00002251442,0.0008316715,0.001166283,0.0370096,0.003381675,0.001249936,0.4737032],"study_design_scores_gemma":[0.0007197727,0.0001030682,0.2112461,0.00001266157,0.000001334115,0.00001773303,0.000007405371,0.7530788,0.03005866,0.000211158,0.004315875,0.0002275165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4673659,0.000001956125,0.5306205,0.0002540534,0.001209285,0.0001045215,1.860092e-7,0.0001553391,0.0002883057],"genre_scores_gemma":[0.9694475,6.197831e-7,0.0299127,0.0004166816,0.0001299439,0.00001358149,7.825343e-7,0.000004313059,0.0000738837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7519125,"threshold_uncertainty_score":0.3067525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005385769584193414,"score_gpt":0.2086077879766851,"score_spread":0.2032220183924917,"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."}}