{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005770667,0.00006912362,0.0001579749,0.00008266405,0.00006853136,0.00002547424,0.00007236574,0.00005294727,0.00003539308],"category_scores_gemma":[0.0002878891,0.00006018612,0.00009279277,0.00007461773,0.000007892477,0.00006527614,0.000004526943,0.0001154073,0.000005934818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002789689,"about_ca_system_score_gemma":0.000008374124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007808708,"about_ca_topic_score_gemma":0.00003372758,"domain_scores_codex":[0.9994245,0.00007468377,0.0002542255,0.00004886328,0.00007157619,0.0001261974],"domain_scores_gemma":[0.9992317,0.0004909794,0.00006168274,0.00009276261,0.00005082154,0.00007203633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001515756,0.0001438645,0.07781933,0.0005026889,0.001883893,0.000006414934,0.002282343,0.1873915,0.08719647,0.003325154,0.155102,0.4841948],"study_design_scores_gemma":[0.001114739,0.000120829,0.006504352,0.00006172487,0.00009295737,0.0001026571,0.00007305324,0.3331226,0.01458364,0.00089468,0.6431414,0.0001873438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0721798,0.0005987654,0.9234574,0.0002895208,0.001556529,0.0001652903,0.00001599809,0.00009365926,0.001643065],"genre_scores_gemma":[0.9897953,0.00004565143,0.009649275,0.00004059836,0.0003000675,0.00003173274,0.000001460985,0.00001922598,0.0001167083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9176155,"threshold_uncertainty_score":0.2454319,"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."}}