{"id":"W2558099083","doi":"10.3390/s16122017","title":"MEMS IMU Error Mitigation Using Rotation Modulation Technique","year":2016,"lang":"en","type":"article","venue":"Sensors","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Inertial measurement unit; GNSS applications; Inertial navigation system; Rotation (mathematics); Units of measurement; Inertial reference unit; Global Positioning System; Computer science; Microelectromechanical systems; Accelerometer; Inertial frame of reference; Engineering; Artificial intelligence; Telecommunications; Physics","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":[0.0002101025,0.0006377064,0.0003029,0.0004847495,0.000241173,0.0002203469,0.0003388344,0.0003075618,0.0007541479],"category_scores_gemma":[0.0007007028,0.0001356713,0.0002879685,0.0003864186,0.0001897368,0.0003397509,0.00027608,0.0002006692,0.0003083828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660749,"about_ca_system_score_gemma":0.0002235229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008782998,"about_ca_topic_score_gemma":0.0008803013,"domain_scores_codex":[0.9997439,0.000038474,0.00001344255,0.00003818263,0.0001350403,0.00003090788],"domain_scores_gemma":[0.9997352,0.00003911562,0.00006608399,0.00004633503,0.0001074349,0.000005955914],"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":[0.0003833509,0.00006208438,0.004866724,0.0002340255,0.00007675601,0.0002176325,0.0002071222,0.03282516,0.5053822,0.00345884,0.001340939,0.4509452],"study_design_scores_gemma":[0.00005252244,0.001110776,0.01478468,0.00005040515,0.0001597226,0.0008085404,0.0001427206,0.2978325,0.6647671,0.0007691986,0.01945854,0.00006322741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.211862,0.001915809,0.777038,0.0002704282,0.0001837454,0.0001105696,0.00005889868,0.001197877,0.007362789],"genre_scores_gemma":[0.8766152,0.0007083136,0.1199826,0.00005571924,0.00006669254,0.00004599997,0.00006760287,0.00003327147,0.002424673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008782998,"threshold_uncertainty_score":0.002522886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135572866483457,"score_gpt":0.2412883944385574,"score_spread":0.2277311077902117,"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."}}