{"id":"W3075807142","doi":"10.1109/case48305.2020.9217036","title":"Nonlinear Attitude Filter on SO(3): Fast Adaptation and Robustness","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Robustness (evolution); Control theory (sociology); Initialization; Nonlinear system; Computer science; Filter (signal processing); Tracking error; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003320532,0.0001873015,0.0001726399,0.00004516333,0.00003449913,0.00007568736,0.00007056529,0.0001869112,0.00007446837],"category_scores_gemma":[0.00001001935,0.0001783231,0.00004379909,0.00004634001,0.00001562119,0.0000431134,0.00006256957,0.0003549667,0.00004695982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003674047,"about_ca_system_score_gemma":0.00001071805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005963169,"about_ca_topic_score_gemma":0.00004387153,"domain_scores_codex":[0.9993454,0.00001278622,0.0001707715,0.0002209732,0.000131824,0.0001183058],"domain_scores_gemma":[0.9997236,0.00002005999,0.00002359638,0.0001403444,0.00003231536,0.00006010766],"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":[0.00001832012,0.0000122172,0.00002198443,0.0002458484,0.00003976315,0.000006442971,0.0003995069,0.9849263,0.001409825,0.000143499,0.0008146635,0.01196156],"study_design_scores_gemma":[0.0001596683,0.00002576723,0.0005746845,0.00007973328,0.00002178321,0.000001252328,0.0000304871,0.992053,0.005408364,0.00006164893,0.001349249,0.000234305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7552063,0.0002316027,0.2246872,0.001013311,0.001836949,0.0007106822,0.0001126218,0.001270869,0.01493045],"genre_scores_gemma":[0.9903618,0.00008679655,0.008325792,0.0001130517,0.0005611939,0.00001658224,0.0003114155,0.00004603891,0.0001773263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2351555,"threshold_uncertainty_score":0.7271803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078940514379163,"score_gpt":0.2381271813671621,"score_spread":0.2073377762233705,"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."}}