{"id":"W2579032995","doi":"10.1109/iccais.2016.7822453","title":"A real time on orbit calibration for redundant gyros of launch vehicle upper stage","year":2016,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; National Natural Science Foundation of China","keywords":"Calibration; Inertial navigation system; Spacecraft; Orbit (dynamics); Control theory (sociology); Kalman filter; Accelerometer; Attitude and heading reference system; Satellite; Inertial measurement unit; Rocket (weapon); Compensation (psychology); Computer science; Inertial frame of reference; Extended Kalman filter; Attitude control; Space vehicle; Aerospace engineering; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000507989,0.0000573058,0.0000749658,0.00002561919,0.00001753285,0.000005893879,0.00003219844,0.00004615109,0.0002471119],"category_scores_gemma":[0.00001170842,0.00003766042,0.00003284433,0.00004165412,0.00000920436,0.00008909572,0.000003716656,0.0000182738,0.00004352591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003257357,"about_ca_system_score_gemma":0.000005530329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004700681,"about_ca_topic_score_gemma":0.000006156061,"domain_scores_codex":[0.9996189,0.000006752837,0.0001272623,0.00007092221,0.00007530829,0.0001008439],"domain_scores_gemma":[0.9997919,0.000049471,0.00001524322,0.00009172133,0.00002716081,0.00002446055],"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":[0.00004397799,0.00001138539,0.00005680562,0.00001957525,0.000007350248,2.320039e-7,0.00004966352,0.000610604,0.990292,0.003335595,0.002428052,0.003144773],"study_design_scores_gemma":[0.0004346933,0.0001049207,0.0005721313,0.00002469157,0.000004025096,2.821781e-7,0.000005245427,0.05219496,0.9441546,0.0001449878,0.002280512,0.00007900817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842687,0.000003001979,0.006376588,0.0001598538,0.00008414363,0.0001922463,0.00005024345,0.0001516456,0.008713559],"genre_scores_gemma":[0.9910284,0.000006660472,0.0005070227,0.0000138765,0.00006633352,0.000009959981,0.00001274018,0.00001713253,0.008337834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05158435,"threshold_uncertainty_score":0.2705702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00827374546234332,"score_gpt":0.2189453971465839,"score_spread":0.2106716516842406,"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."}}