{"id":"W4294691005","doi":"10.23919/acc53348.2022.9867665","title":"Discovery of Alarm Correlations Based on Pattern Mining and Network Analysis","year":2022,"lang":"en","type":"article","venue":"2022 American Control Conference (ACC)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"ALARM; Root cause analysis; Computer science; Abnormality; Data mining; Root cause; Process (computing); Event (particle physics); Artificial intelligence; Reliability engineering; Engineering","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":[0.0002355031,0.0001819942,0.0005532997,0.0002593998,0.0001711279,0.00005960307,0.0001625183,0.00002444,0.0002868772],"category_scores_gemma":[0.00002879501,0.0001751676,0.0001637545,0.0009502391,0.00007969206,0.0000822464,0.00003183229,0.0002164738,0.000002570921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007027906,"about_ca_system_score_gemma":0.00004602941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003726077,"about_ca_topic_score_gemma":0.0002962053,"domain_scores_codex":[0.9986261,0.000193755,0.0003514257,0.0002584493,0.0003056866,0.0002645953],"domain_scores_gemma":[0.9990979,0.0003158883,0.0001743749,0.0003037344,0.0000393002,0.00006880551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009347342,0.00003837319,0.05925655,0.00001386401,0.0006872582,0.000007521139,0.0002363799,0.8909292,0.0009489967,0.0001215494,0.0005122909,0.04715452],"study_design_scores_gemma":[0.0008410392,0.0002193837,0.02141268,0.000009413299,0.0002800667,0.000001627973,0.00107694,0.9740969,0.00001269052,0.000005911603,0.001842814,0.0002005633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4934267,0.0003306263,0.4982377,0.0006568002,0.0009504115,0.0006402218,0.0005029349,0.000342228,0.004912427],"genre_scores_gemma":[0.9990734,0.000009796578,0.00003729411,0.0003708235,0.0000654052,0.0001847844,0.0000310291,0.00002321154,0.0002042431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5056467,"threshold_uncertainty_score":0.7143128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006648805763542921,"score_gpt":0.2058209527010709,"score_spread":0.1991721469375279,"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."}}