{"id":"W4400229119","doi":"10.1109/access.2024.3422255","title":"Adaptive Estimation Using Interacting Multiple Model With Moving Window","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Identifiability; Computer science; Estimation; Extended Kalman filter; Kalman filter; Estimation theory; Fault (geology); Window (computing); Sliding window protocol; Control theory (sociology); State (computer science); Control (management); Artificial intelligence; Algorithm; Machine learning; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009130129,0.0008433821,0.0010078,0.0005666918,0.0003402948,0.0006567332,0.001231377,0.0008482545,0.0010213],"category_scores_gemma":[0.003057033,0.0005064993,0.0009890703,0.0006054467,0.0004212292,0.001597685,0.0008799378,0.001379242,0.000298223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000360248,"about_ca_system_score_gemma":0.0005521091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0045986,"about_ca_topic_score_gemma":0.003192163,"domain_scores_codex":[0.9994487,0.0001720901,0.00003277657,0.0001393282,0.0001587664,0.00004827015],"domain_scores_gemma":[0.9990791,0.0005608797,0.0001187249,0.0000991737,0.000122382,0.0000196022],"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":[0.0001379928,0.00006474015,0.001353472,0.0001035607,0.0001443032,0.0001486,0.0001148592,0.8546037,0.007587947,0.0144232,0.0006565991,0.120661],"study_design_scores_gemma":[0.000002857226,0.00002077189,0.0001097756,0.000002463313,0.000007011125,0.00001370519,0.000003278751,0.9975179,0.0006191824,0.001453373,0.0002433289,0.000006338501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005286378,0.0001197912,0.9939564,0.0000444565,0.00001860698,0.0000119684,0.00001116375,0.0001916114,0.0003597129],"genre_scores_gemma":[0.7129716,0.0005578923,0.2833356,0.0001061468,0.00008115706,0.0001654774,0.0001924931,0.0001221085,0.002467524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0045986,"threshold_uncertainty_score":0.009143651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03308836108578458,"score_gpt":0.2861005371791301,"score_spread":0.2530121760933455,"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."}}