{"id":"W296479776","doi":"10.1007/978-1-4615-0351-4_40","title":"Performance Analysis of MEMS-based Inertial Sensors for Positioning Applications","year":2003,"lang":"en","type":"book-chapter","venue":"Kluwer international series in engineering and computer science","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Microelectromechanical systems; Inertial measurement unit; Inertial navigation system; Inertial frame of reference; Computer science; Accelerometer; Wavelet; Engineering; Electronic engineering; Artificial intelligence; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005473236,0.0007320693,0.0005318006,0.00048868,0.0003014869,0.0006646617,0.000564921,0.0007001157,0.002194435],"category_scores_gemma":[0.001688699,0.0002341427,0.0003052604,0.0005108037,0.0002623438,0.000676338,0.0003118808,0.0002886191,0.0008253602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006441216,"about_ca_system_score_gemma":0.0002518246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001297376,"about_ca_topic_score_gemma":0.001400512,"domain_scores_codex":[0.9993024,0.0001589769,0.00002483378,0.00007407538,0.0003807596,0.0000590103],"domain_scores_gemma":[0.9992933,0.0003961052,0.00006293874,0.00004729591,0.0001908869,0.000009505827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001142934,0.0001385199,0.004427122,0.0006917095,0.0002127593,0.0002178511,0.0002172548,0.4481491,0.1858499,0.02472868,0.007233611,0.3269906],"study_design_scores_gemma":[0.00001271583,0.0004661933,0.003673166,0.00002855883,0.00005100766,0.0001427601,0.00004340485,0.9497098,0.03912001,0.002726662,0.004000317,0.00002541185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2413709,0.01903838,0.7054254,0.001142375,0.00036532,0.0001206733,0.0003795805,0.001446159,0.03071118],"genre_scores_gemma":[0.9714202,0.002742298,0.01865442,0.00009623807,0.0002381533,0.00006519088,0.0002422345,0.00007964025,0.006461495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002194435,"threshold_uncertainty_score":0.007341087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005370700565906875,"score_gpt":0.2020848720697891,"score_spread":0.1967141715038822,"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."}}