{"id":"W2099635895","doi":"10.1109/dsn.2009.5270324","title":"Automatic fault detection and diagnosis in complex software systems by information-theoretic monitoring","year":2009,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Jaccard index; False positive paradox; Computer science; Data mining; Wilcoxon signed-rank test; Anomaly detection; Context (archaeology); Component (thermodynamics); Fault detection and isolation; Similarity (geometry); Measure (data warehouse); Software; Fault (geology); Rank (graph theory); Software system; Artificial intelligence; Pattern recognition (psychology); Mathematics; Statistics","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":[0.0003349511,0.0001229676,0.0001755366,0.0001304256,0.000115087,0.0002516229,0.0002520077,0.00007855942,0.000005441522],"category_scores_gemma":[0.00008801528,0.00009916878,0.00002464322,0.0003492734,0.00002620864,0.001444233,0.00004806319,0.0000937524,0.0000326919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008892709,"about_ca_system_score_gemma":0.00001535388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001409185,"about_ca_topic_score_gemma":0.000003129391,"domain_scores_codex":[0.9989514,0.00005435856,0.000384705,0.000174996,0.0002236416,0.0002109202],"domain_scores_gemma":[0.9993614,0.0001266248,0.00008676976,0.0002957588,0.00006208652,0.00006739363],"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":[0.00000451462,0.00009036178,0.2229304,0.0004598153,0.00001073179,0.000002274395,0.002594679,0.0008369932,0.0001367386,0.001160417,0.0009145631,0.7708586],"study_design_scores_gemma":[0.0008244059,0.0002733154,0.409592,0.000267452,0.00000700702,0.00004717097,0.0004147594,0.5834646,0.001807487,0.001363483,0.001466477,0.0004718466],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7534485,0.0002033234,0.2447265,0.000182413,0.0003687438,0.0003832779,0.000001574487,0.0005112277,0.0001743498],"genre_scores_gemma":[0.9957534,0.00004975871,0.004030691,0.00006658793,0.00002394079,0.00006201382,0.000001937903,0.000002525459,0.000009132006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7703867,"threshold_uncertainty_score":0.4043985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008485578901970105,"score_gpt":0.2297634440473518,"score_spread":0.2212778651453817,"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."}}