{"id":"W2334728372","doi":"10.1021/ie101238q","title":"Enhancing Fault-Observability by the Use of Feedback Control","year":2010,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Observability; Control (management); Computer science; Control theory (sociology); Fault (geology); Feedback control; Control engineering; Process engineering; Mathematics; Artificial intelligence; Engineering; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005433785,0.0006407818,0.0003280215,0.0003540887,0.0002093381,0.0004888566,0.0005477896,0.0003599075,0.0008818444],"category_scores_gemma":[0.002527139,0.0001908235,0.0002625223,0.0002019374,0.0003973245,0.0006915405,0.0005614686,0.0003974784,0.00008836551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128591,"about_ca_system_score_gemma":0.0004830122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002212404,"about_ca_topic_score_gemma":0.00245293,"domain_scores_codex":[0.9996895,0.00006122031,0.00001959557,0.00007154371,0.0001183667,0.00003989723],"domain_scores_gemma":[0.9991046,0.0005072191,0.0001873639,0.00006275569,0.0001166995,0.00002133917],"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":[0.000368867,0.0002542664,0.001840125,0.0002996615,0.00003704858,0.0002601702,0.0002817321,0.5097796,0.1368502,0.01157331,0.0005256641,0.3379293],"study_design_scores_gemma":[0.00002390066,0.0004051429,0.00102497,0.00001590065,0.0000185207,0.00007586681,0.00001910988,0.9705949,0.02413517,0.00249947,0.001170961,0.0000160106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07925758,0.0003132772,0.9167995,0.0001092471,0.00003142326,0.00004819201,0.00001437033,0.0006197612,0.002806717],"genre_scores_gemma":[0.9500026,0.0001100491,0.04920367,0.00002903268,0.00001315919,0.0000300503,0.00001448375,0.00001750505,0.0005795024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002212404,"threshold_uncertainty_score":0.004399061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07071461272449953,"score_gpt":0.2876052246559017,"score_spread":0.2168906119314022,"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."}}