{"id":"W4377710442","doi":"10.1109/tii.2023.3278881","title":"Skew Filtering for Online State Estimation and Control","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Control Systems and Identification","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Skew; Noise (video); Computer science; Curse of dimensionality; Dimension (graph theory); Gaussian noise; Metric (unit); Filter (signal processing); Noise measurement; Mathematical optimization; Gaussian; Algorithm; Noise reduction; Mathematics; Artificial intelligence; 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":[0.0001772179,0.0001042003,0.0001474947,0.0001804659,0.0001041551,0.0000893066,0.00004843013,0.0000902605,0.000006364044],"category_scores_gemma":[0.00001201545,0.0001070313,0.00004420506,0.0001835163,0.00001196388,0.0002947446,3.666732e-7,0.0001378128,0.00003129273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004529722,"about_ca_system_score_gemma":0.00001406137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001417044,"about_ca_topic_score_gemma":0.00001750138,"domain_scores_codex":[0.9992578,0.000008117484,0.0004263273,0.00005040154,0.00009946602,0.0001578724],"domain_scores_gemma":[0.9996238,0.0001198504,0.00005276349,0.0001142667,0.000036183,0.00005316061],"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":[0.00003265689,0.00001172381,0.000001397484,0.0001025118,0.0000582137,1.612901e-7,0.0005848969,0.7570419,0.001057322,0.00001264066,0.0009650337,0.2401316],"study_design_scores_gemma":[0.001640917,0.0000515705,0.00003262411,0.00005095272,0.00003120705,0.000001824051,0.0001016853,0.9920943,0.002270668,0.00005327098,0.003556723,0.0001142285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1148573,0.000005068805,0.8826595,0.0000642923,0.00108283,0.0005454116,0.000402438,0.0003423806,0.00004071436],"genre_scores_gemma":[0.9986791,0.00003292199,0.0008183337,0.00001906368,0.000074089,0.000117641,0.000040867,0.00001842945,0.0001995704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8838217,"threshold_uncertainty_score":0.4364609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03959688113427096,"score_gpt":0.2476010470860974,"score_spread":0.2080041659518264,"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."}}