{"id":"W4393144901","doi":"10.1109/ojim.2024.3379386","title":"Improved-Performance Vehicle’s State Estimator Under Uncertain Model Dynamics","year":2024,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Estimator; State estimator; State (computer science); Dynamics (music); Computer science; Control theory (sociology); Mathematics; Statistics; Artificial intelligence; Algorithm; Physics; Control (management)","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006809258,0.0003830548,0.0006018484,0.0006002459,0.0001686318,0.001643767,0.001299038,0.0001331384,0.0006705415],"category_scores_gemma":[0.00003322893,0.0003521421,0.0001812525,0.0007914805,0.00006087471,0.002246218,0.0002208671,0.0005678214,0.00005810397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003971672,"about_ca_system_score_gemma":0.0001332073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003268643,"about_ca_topic_score_gemma":0.0001022633,"domain_scores_codex":[0.9977912,0.0000658572,0.0008185453,0.0003743507,0.0004700616,0.0004799454],"domain_scores_gemma":[0.9989017,0.0001289248,0.0001637744,0.0004197657,0.0001281021,0.0002577489],"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":[0.00008752147,0.0000459036,0.003104323,0.0006256459,0.000401464,0.00001898729,0.0001226886,0.8177624,0.1192416,0.0001933905,0.006944362,0.0514517],"study_design_scores_gemma":[0.0003371982,0.000008215701,0.003305766,0.0004267692,0.00004745715,0.00001979675,0.00004264642,0.9867782,0.004821409,0.001555938,0.002224677,0.0004319313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8979321,0.01854893,0.07460896,0.0001376161,0.002656843,0.0006644354,0.0001375646,0.0006325137,0.004681083],"genre_scores_gemma":[0.9945368,0.003526809,0.0002415297,0.00009214872,0.0001286961,0.00007721797,0.000009452995,0.000126164,0.001261156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1690157,"threshold_uncertainty_score":0.9998931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007011449144421,"score_gpt":0.4630831709206769,"score_spread":0.3623820260062349,"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."}}