{"id":"W2053931674","doi":"10.1155/2010/816047","title":"Nonlinear Modeling of Azimuth Error for 2D Car Navigation Using Parallel Cascade Identification Augmented with Kalman Filtering","year":2010,"lang":"en","type":"article","venue":"International Journal of Navigation and Observation","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Trusted Positioning (Canada); Queen's University","funders":"","keywords":"Global Positioning System; Odometer; Inertial navigation system; Azimuth; Computer science; Gyroscope; Inertial measurement unit; Kalman filter; Nonlinear system; Control theory (sociology); Engineering; Inertial frame of reference; Artificial intelligence; Aerospace engineering; Mathematics; Physics; Telecommunications","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":[0.0003570187,0.0001405254,0.0001822083,0.0001780185,0.0000714442,0.00006549058,0.0001456678,0.000108297,0.00000487077],"category_scores_gemma":[0.00005638705,0.0001331324,0.00007207846,0.0001522667,0.0000327935,0.0008089867,0.00001094596,0.0002168483,4.820642e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008502532,"about_ca_system_score_gemma":0.00003541806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004830982,"about_ca_topic_score_gemma":0.00001337574,"domain_scores_codex":[0.9985832,0.00001931611,0.0007416162,0.0001254708,0.0004144811,0.000115916],"domain_scores_gemma":[0.9981688,0.00004777167,0.0004525277,0.00009153907,0.001180828,0.00005858161],"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":[0.0001753062,0.00003453808,0.001330899,0.00007661788,0.00009126394,0.000002708424,0.0005843029,0.3601744,0.6344082,0.000354226,0.000009823793,0.002757676],"study_design_scores_gemma":[0.001076238,0.00007063227,0.00259214,0.0002531882,0.00006187832,0.00007262977,0.0001671177,0.9175359,0.07752863,0.0003699065,0.0001351898,0.000136571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7916971,0.00003205729,0.2072137,0.0001021939,0.0007075281,0.0001831077,0.00002901693,0.00002491022,0.00001032782],"genre_scores_gemma":[0.9689022,0.00002064134,0.03032562,0.00001984232,0.0003943775,0.000006691625,0.0002949593,0.00002706885,0.000008642231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5573615,"threshold_uncertainty_score":0.5428982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03566191569179965,"score_gpt":0.2918292781398467,"score_spread":0.256167362448047,"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."}}