{"id":"W2047588199","doi":"10.1002/aic.690480413","title":"Adaptive process monitoring via multichannel EIV lattice filters","year":2002,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Residual; Principal component analysis; Algorithm; Control theory (sociology); State-space representation; Computer science; Lattice phase equaliser; Multivariable calculus; State space; Adaptive filter; Mathematics; Artificial intelligence; Statistics; Engineering; Control engineering","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":[0.0001341122,0.0001331955,0.000145525,0.00008483278,0.0001262123,0.00007183333,0.0001276681,0.00007208627,0.0001221194],"category_scores_gemma":[0.00002553675,0.0001228448,0.00007011794,0.0001369535,0.00001096276,0.0002419357,0.000006520645,0.0004040359,0.0002103118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008261344,"about_ca_system_score_gemma":0.000003629114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006523839,"about_ca_topic_score_gemma":0.000002257487,"domain_scores_codex":[0.9991794,0.00003011593,0.000230974,0.00008983138,0.0002066134,0.0002630356],"domain_scores_gemma":[0.9996074,0.00003548042,0.00005120591,0.00009314471,0.0000670545,0.0001456444],"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":[0.000173227,0.0002997423,0.004846982,0.0003820306,0.001728684,0.0005535204,0.02737041,0.5897602,0.09089616,0.00002864184,0.01314742,0.270813],"study_design_scores_gemma":[0.0009106476,0.00007532937,0.000649736,0.0001010728,0.00003484703,0.000457144,0.001416254,0.9880543,0.005517461,0.0000513173,0.002473448,0.0002584653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152259,0.005317879,0.05377799,0.0003745173,0.009120318,0.0003813989,0.000005175944,0.0008754998,0.01492133],"genre_scores_gemma":[0.9981518,0.00006738251,0.0002604713,0.00002780676,0.0009607048,0.00001102013,1.017132e-7,0.00002995667,0.0004907706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3982941,"threshold_uncertainty_score":0.5009467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063019988832802,"score_gpt":0.22674288549177,"score_spread":0.2061126856034419,"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."}}