{"id":"W2077612208","doi":"10.2514/6.2010-7884","title":"Fault Detection and Diagnosis for GTM UAV with Dual Unscented Kalman Filter","year":2010,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Else Kröner-Fresenius-Stiftung; National Aeronautics and Space Administration","keywords":"Kalman filter; Dual (grammatical number); Computer science; Fault detection and isolation; Extended Kalman filter; Fault (geology); Artificial intelligence; Geology; Seismology","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":[0.00017031,0.000226234,0.0002741496,0.00007717525,0.0002132179,0.0001606156,0.00007243592,0.0001465794,0.0000160294],"category_scores_gemma":[0.00004022452,0.0001987589,0.00003900158,0.0001351987,0.0001058629,0.0002268272,0.000007222797,0.0002103748,0.000005279286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001767097,"about_ca_system_score_gemma":0.00002348824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007866552,"about_ca_topic_score_gemma":0.0006490773,"domain_scores_codex":[0.998991,0.00002911416,0.000298674,0.0002948488,0.0001311731,0.0002552572],"domain_scores_gemma":[0.9992592,0.000119954,0.00007282069,0.0001898183,0.0002469315,0.0001112616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009581074,0.0001290321,0.06809715,0.0009233031,0.0007792071,0.00001310532,0.001379513,0.0009042225,0.6697057,0.01098718,0.001516574,0.2446069],"study_design_scores_gemma":[0.01884542,0.0007853463,0.1220523,0.0005702432,0.0003411088,0.0001274172,0.0006261235,0.6691924,0.03499352,0.001934352,0.1491307,0.001401014],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9236485,0.0004680852,0.07310107,0.0002556232,0.0006704941,0.0008719907,0.00004640386,0.0002971374,0.000640654],"genre_scores_gemma":[0.9985595,0.00006166987,0.000118897,0.0001322165,0.0001678754,0.0007402606,0.00001243407,0.00002862871,0.0001784939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6682882,"threshold_uncertainty_score":0.8105152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006310540631994938,"score_gpt":0.2078702099586693,"score_spread":0.2015596693266744,"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."}}