{"id":"W2023685972","doi":"10.1002/aic.14391","title":"Methods for root cause diagnosis of plant‐wide oscillations","year":2014,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Tsinghua Initiative Scientific Research Program; Natural Sciences and Engineering Research Council of Canada; Tsinghua University","keywords":"Transfer entropy; Root cause analysis; Root cause; Granger causality; Process (computing); Computer science; Data mining; Adjacency matrix; Oscillation (cell signaling); Artificial intelligence; Machine learning; Mathematics; Engineering; Reliability engineering; Theoretical computer science; Principle of maximum entropy; Graph","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003473802,0.001413311,0.001164417,0.008224476,0.0006261094,0.001344791,0.001520577,0.001378908,0.00274376],"category_scores_gemma":[0.01579225,0.0004160949,0.001308947,0.004009693,0.0006450099,0.001490077,0.001224744,0.001709073,0.0008049507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008305807,"about_ca_system_score_gemma":0.001471636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003694382,"about_ca_topic_score_gemma":0.004970117,"domain_scores_codex":[0.9981024,0.0006400925,0.0001615471,0.0004382314,0.0005851706,0.00007254143],"domain_scores_gemma":[0.9906965,0.006774967,0.001143147,0.0004574363,0.0008316385,0.00009629431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002299777,0.0001952248,0.01903004,0.0007275924,0.000541953,0.0002780077,0.0002782024,0.3519283,0.005411558,0.02354955,0.005041607,0.5927879],"study_design_scores_gemma":[0.00003700771,0.00003517151,0.004431753,0.00006755381,0.00005790402,0.000184627,0.00007730302,0.9479154,0.001990927,0.04134084,0.003824085,0.00003742659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01076694,0.001257281,0.9852056,0.0001986635,0.00004197185,0.0001080541,0.0006017615,0.0008715581,0.0009480566],"genre_scores_gemma":[0.3693931,0.001833277,0.6234309,0.0001136492,0.0001781862,0.0003756332,0.002501401,0.0002277057,0.001946186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008224476,"threshold_uncertainty_score":0.01837146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909289495559925,"score_gpt":0.2987875570319782,"score_spread":0.279694662076379,"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."}}