{"id":"W4380451807","doi":"10.1117/12.2664129","title":"The extended Luenberger sliding innovation filter","year":2023,"lang":"en","type":"article","venue":"","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Filter (signal processing); Control theory (sociology); Matrix (chemical analysis); Hyperplane; Rank (graph theory); Mathematics; Filter design; Kernel adaptive filter; Inverse; Nonlinear system; Computer science; Control (management); Physics; Artificial intelligence; Computer vision; Materials science","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":[0.0009863818,0.0005674249,0.0008638618,0.000537533,0.0003294016,0.0008413302,0.0007150498,0.001173981,0.002782719],"category_scores_gemma":[0.001971476,0.0002255716,0.0006240588,0.0005735475,0.0005943063,0.001143494,0.0004590054,0.0009609922,0.0008066972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006595288,"about_ca_system_score_gemma":0.0009989024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003279197,"about_ca_topic_score_gemma":0.002088764,"domain_scores_codex":[0.9993104,0.0001362507,0.00004199746,0.0001891394,0.0002643971,0.00005783299],"domain_scores_gemma":[0.9994248,0.0002107011,0.00006998593,0.00006213124,0.0002099917,0.00002235072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002870141,0.00008456026,0.001515578,0.0002828833,0.0001210188,0.0002326808,0.0002888549,0.2848095,0.04805814,0.07224911,0.003969578,0.5881011],"study_design_scores_gemma":[0.00001384756,0.000113759,0.0005390534,0.00001395468,0.00001403209,0.0000782198,0.00001118733,0.9841486,0.005021397,0.004594214,0.005424472,0.0000272936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004137519,0.0001846676,0.9940622,0.0000656852,0.00006581035,0.00001745739,0.00002996569,0.0002641606,0.001172512],"genre_scores_gemma":[0.3580564,0.001283518,0.6176754,0.0002344654,0.0003684066,0.0002305584,0.0004094428,0.000102196,0.02163968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003279197,"threshold_uncertainty_score":0.009309173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443833009700963,"score_gpt":0.3065581058595637,"score_spread":0.272119775762554,"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."}}