{"id":"W4409002420","doi":"10.1016/j.jprocont.2025.103423","title":"Fault detection and identification using a novel process decomposition algorithm for distributed process monitoring","year":2025,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ontario Ministry of Research and Innovation","keywords":"Process (computing); Identification (biology); Fault detection and isolation; Computer science; Decomposition; Fault (geology); Algorithm; Data mining; Artificial intelligence","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":[0.0003278872,0.00017248,0.0003326355,0.0002705895,0.0001761422,0.0001645517,0.0001236134,0.0001227667,8.140508e-7],"category_scores_gemma":[0.00009942117,0.0001657274,0.00008557991,0.0003480639,0.00001879557,0.0005557079,0.000003299468,0.00020132,2.767674e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499592,"about_ca_system_score_gemma":0.0000646788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003061227,"about_ca_topic_score_gemma":0.000002648536,"domain_scores_codex":[0.9987322,0.00001893348,0.0006702154,0.000154168,0.0002238854,0.0002005634],"domain_scores_gemma":[0.9986351,0.00006276122,0.0003370865,0.00007400243,0.0008163074,0.00007471346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004667221,0.0001532906,0.0009354169,0.002107907,0.0005762708,0.000003247452,0.0006326006,0.2377984,0.5905097,0.00001288453,0.000007553074,0.166796],"study_design_scores_gemma":[0.003560369,0.00007039416,0.000704558,0.0003347035,0.0001876676,0.00008886954,0.0006618619,0.9196632,0.07420363,0.0003010489,0.00006843537,0.0001552862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3070547,0.0005320126,0.6911833,0.00003341631,0.000724477,0.0003777098,0.00002324943,0.00006350271,0.000007707713],"genre_scores_gemma":[0.9990124,0.00001191463,0.0004791813,0.00001085756,0.0003479857,0.0001053039,0.000002262375,0.00002222541,0.000007867329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6919577,"threshold_uncertainty_score":0.6758166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008826973727546922,"score_gpt":0.2939124434840863,"score_spread":0.2850854697565394,"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."}}