{"id":"W2167981441","doi":"10.1109/tvt.2008.921616","title":"Civilian Vehicle Navigation: Required Alignment of the Inertial Sensors for Acceptable Navigation Accuracies","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"NovAtel (Canada); University of Calgary","funders":"","keywords":"Inertial navigation system; Inertial measurement unit; Accelerometer; Inertial reference unit; Reliability (semiconductor); Navigation system; Computer science; Inertial frame of reference; Engineering; Gyroscope; Simulation; Real-time computing; Artificial intelligence; Aerospace engineering","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":[0.00008243934,0.0001883267,0.0002196573,0.0001524259,0.000324047,0.000008718092,0.0002208874,0.0003080188,0.000020787],"category_scores_gemma":[0.000009166817,0.0001638209,0.0001716809,0.0006518894,0.0002037638,0.0001555532,0.000002211465,0.000264774,0.00001346021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001228824,"about_ca_system_score_gemma":0.0000224765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002598212,"about_ca_topic_score_gemma":0.0000119602,"domain_scores_codex":[0.9988796,0.00002978147,0.0003785729,0.0002119516,0.0002307498,0.0002693186],"domain_scores_gemma":[0.9993194,0.00004551869,0.00007948982,0.0003934232,0.0001270799,0.00003502826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004773429,0.00008852962,0.00006575011,0.0000773201,0.00008547221,0.000004429511,0.0003247351,0.2935692,0.6993161,0.0002434674,0.0001691162,0.006008181],"study_design_scores_gemma":[0.0005947798,0.0001035892,0.0001501263,0.00006964699,0.00004868445,0.00004637727,0.0001158297,0.04000485,0.9571989,0.0002375788,0.001254775,0.0001748602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393124,0.00006395922,0.05840427,0.0004698463,0.0006416843,0.0005727903,0.00004729623,0.0004058576,0.00008186576],"genre_scores_gemma":[0.9990027,0.00003831246,0.0005654642,0.0000241233,0.00004988627,0.0001503278,0.00001554213,0.00003734044,0.0001162925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2578828,"threshold_uncertainty_score":0.6680421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402522991319696,"score_gpt":0.2265676255903717,"score_spread":0.2125423956771748,"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."}}