{"id":"W1992113628","doi":"10.1016/j.automatica.2014.12.043","title":"Parametrization of optimal fault detection filters","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Parametrization (atmospheric modeling); Fault detection and isolation; Filter (signal processing); Upper and lower bounds; Sensitivity (control systems); Invariant (physics); Linear system; Fault (geology); Mathematics; Mathematical optimization; Computer science; Engineering; Mathematical analysis","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":[0.001012762,0.0009025387,0.0007591383,0.0006843804,0.0002927704,0.001806286,0.0007592884,0.001312817,0.003543894],"category_scores_gemma":[0.005936785,0.0005763475,0.0004769546,0.0004745249,0.0007978415,0.001303409,0.0008607961,0.001157034,0.0006666029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199267,"about_ca_system_score_gemma":0.0006496258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001694951,"about_ca_topic_score_gemma":0.001086095,"domain_scores_codex":[0.9994142,0.0001995212,0.00003441441,0.000164772,0.0001189071,0.0000682075],"domain_scores_gemma":[0.9987746,0.0006755342,0.0001425097,0.0002051685,0.0001476037,0.00005455224],"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":[0.0002724235,0.00004870079,0.0004632113,0.0001025887,0.00004993811,0.00006948465,0.0001374547,0.7535751,0.01071731,0.1616747,0.001379204,0.07150984],"study_design_scores_gemma":[0.00002536516,0.00002993278,0.0002175063,0.00001468529,0.00001231409,0.00002710864,0.00001418789,0.9426602,0.002152535,0.05353464,0.001295988,0.00001549941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01738777,0.0002443252,0.9777768,0.0002058398,0.00003643851,0.00001650648,0.00005740755,0.0003225917,0.003952333],"genre_scores_gemma":[0.9018177,0.0003649482,0.09145581,0.0001059554,0.00005586999,0.0001155497,0.0001704934,0.0002298468,0.005683826],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003543894,"threshold_uncertainty_score":0.01185548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238504009773314,"score_gpt":0.2175837590687144,"score_spread":0.2051987189709812,"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."}}