{"id":"W2088634472","doi":"10.1115/1.1590682","title":"The Variable Structure Filter","year":2003,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Control theory (sociology); Filter (signal processing); Noise (video); Filter design; Stability (learning theory); Parametric statistics; Computer science; Variable (mathematics); Nonlinear filter; Mathematics; Statistics; Artificial intelligence","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":[0.000622741,0.0005853145,0.0008387296,0.0006976583,0.000537737,0.001148736,0.00104833,0.001314178,0.004513314],"category_scores_gemma":[0.001818119,0.0002964717,0.0006046748,0.0005437645,0.0008431174,0.001756191,0.0008311436,0.001386249,0.002501912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363099,"about_ca_system_score_gemma":0.0008555725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001448084,"about_ca_topic_score_gemma":0.001199942,"domain_scores_codex":[0.9992642,0.0001254302,0.00003001708,0.0001846558,0.0003378491,0.00005790581],"domain_scores_gemma":[0.9995713,0.0001552394,0.00004438841,0.00007929966,0.0001264781,0.00002336574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001439024,0.00005739884,0.000469005,0.0002121422,0.00007780051,0.0002058745,0.0001901233,0.04372036,0.03010817,0.406628,0.008408835,0.5097784],"study_design_scores_gemma":[0.0001219082,0.0004596579,0.0006832064,0.0001202333,0.00009774024,0.001011375,0.0000587725,0.615977,0.03033281,0.1707253,0.1802858,0.0001262479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009342298,0.0003525387,0.9950324,0.0001029946,0.0001309636,0.00001582999,0.00001902417,0.0001980415,0.003214064],"genre_scores_gemma":[0.1882807,0.002555852,0.7787682,0.0007827998,0.000761465,0.0002601723,0.0002606692,0.0001874321,0.02814269],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004513314,"threshold_uncertainty_score":0.01509857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007550110853298086,"score_gpt":0.1752150873306123,"score_spread":0.1676649764773142,"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."}}