{"id":"W2600656202","doi":"10.3390/s17040698","title":"Improving Observability of an Inertial System by Rotary Motions of an IMU","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Observability; Inertial measurement unit; Accelerometer; Inertial navigation system; Azimuth; Control theory (sociology); Observable; Inertial frame of reference; Rotation (mathematics); Computer science; Inertial reference unit; Unobservable; Gyroscope; Engineering; Physics; Aerospace engineering; Mathematics; Artificial intelligence; Classical mechanics; Optics","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":[0.0006992442,0.0005795375,0.0004076939,0.0002658833,0.000250753,0.000371698,0.000320236,0.0002532406,0.0003615184],"category_scores_gemma":[0.00298287,0.0002135735,0.000319466,0.0001716989,0.0005864305,0.0006731087,0.0007039748,0.0004203321,0.00006659264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002591081,"about_ca_system_score_gemma":0.0004396115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00245721,"about_ca_topic_score_gemma":0.001845997,"domain_scores_codex":[0.9994474,0.0001277578,0.00003727218,0.0001172218,0.0002106618,0.00005970642],"domain_scores_gemma":[0.9989759,0.0004157575,0.0002375249,0.0001938368,0.0001567633,0.00002031711],"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":[0.0004839687,0.00007270822,0.01077952,0.0003124651,0.0001201526,0.0004259445,0.0005921981,0.6040119,0.1836666,0.01744569,0.0003979276,0.1816909],"study_design_scores_gemma":[0.00001314112,0.0002215248,0.005070431,0.00001260488,0.00003710736,0.00008152248,0.00003656259,0.9711533,0.0206002,0.001913191,0.000843604,0.00001693336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1363025,0.0002363266,0.8619761,0.00008182807,0.00001783415,0.00001549311,0.0000159058,0.0002926447,0.001061265],"genre_scores_gemma":[0.9848415,0.0000955849,0.01478863,0.00001175273,0.000009657821,0.00001039186,0.00001526114,0.000008134904,0.0002191748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00245721,"threshold_uncertainty_score":0.004885793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009681718864630049,"score_gpt":0.223118256406165,"score_spread":0.2134365375415349,"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."}}