{"id":"W2320982424","doi":"10.2514/6.2003-1410","title":"The Unscented and Extended Kalman Filter for Systems with Polynomial Restoring Forces","year":2003,"lang":"en","type":"article","venue":"44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Kalman filter; Control theory (sociology); Polynomial; Unscented transform; Computer science; Extended Kalman filter; Fast Kalman filter; Mathematics; Artificial intelligence; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002442714,0.0006338653,0.0006477391,0.0001082484,0.0006852179,0.0007401217,0.0002918977,0.0002804826,0.00003463166],"category_scores_gemma":[0.00008402851,0.000442107,0.00006670086,0.0001160468,0.0003056351,0.0003341523,0.00005596004,0.0002498936,0.000001180521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001359436,"about_ca_system_score_gemma":0.00005328525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004607441,"about_ca_topic_score_gemma":0.0008581628,"domain_scores_codex":[0.9974867,0.0001306149,0.0006651709,0.0005956562,0.0003116287,0.0008102316],"domain_scores_gemma":[0.9987728,0.0001408613,0.0002211425,0.0004436754,0.0002001461,0.0002213546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003929041,0.00003115845,0.003083795,0.004193784,0.00137501,0.00006841467,0.003636118,0.004334178,0.2654724,0.6562262,0.001561932,0.05608791],"study_design_scores_gemma":[0.02619315,0.003067861,0.3188076,0.002113722,0.001698563,0.002719822,0.00559488,0.2749681,0.2724161,0.0583231,0.02269703,0.01139994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917939,0.000761357,0.001671045,0.00005953271,0.003417117,0.001177324,0.0005037279,0.0002476178,0.0003684245],"genre_scores_gemma":[0.9976926,0.000350126,0.0008444577,0.0000296373,0.0004256664,0.00007117073,0.0002307497,0.00009032684,0.0002652609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5979031,"threshold_uncertainty_score":0.9998031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007963438829206193,"score_gpt":0.2079669639169834,"score_spread":0.2000035250877772,"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."}}