{"id":"W2766737923","doi":"10.1016/j.actaastro.2017.10.038","title":"Observability of satellite launcher navigation with INS, GPS, attitude sensors and reference trajectory","year":2017,"lang":"en","type":"article","venue":"Acta Astronautica","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Defence Research and Development Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université Laval","keywords":"Observability; Global Positioning System; Trajectory; Satellite; Geodesy; Remote sensing; Computer science; Aerospace engineering; GPS/INS; Control theory (sociology); Aeronautics; Assisted GPS; Engineering; Physics; Geography; Mathematics; Artificial intelligence; Astronomy; Control (management); Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001159229,0.0001170594,0.0001609084,0.00001679188,0.00008735601,0.0000309983,0.0001054853,0.00007179611,0.00001937877],"category_scores_gemma":[0.00002982149,0.0001008626,0.00001931161,0.00002937443,0.0001301358,0.0002101378,0.00001997245,0.0001453425,0.000004419871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003279151,"about_ca_system_score_gemma":0.00001190968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008712538,"about_ca_topic_score_gemma":0.00005657153,"domain_scores_codex":[0.999367,0.00002366648,0.0001671059,0.0001467657,0.0001390295,0.0001564249],"domain_scores_gemma":[0.9994435,0.00003794845,0.00006415469,0.000347152,0.00004997535,0.00005723329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003495611,0.0001506783,0.505919,0.0007942199,0.0002238699,0.00001235669,0.001789847,0.002026065,0.3997189,0.001885927,0.00008967923,0.08703993],"study_design_scores_gemma":[0.0003031412,0.00007474116,0.9722674,0.00007939748,0.00002794951,0.000002937483,0.00003435253,0.001547078,0.0235014,0.00005142863,0.001980039,0.0001301082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976351,0.00008832409,0.00007275096,0.00007409367,0.00005225187,0.0001115706,0.00001436088,0.00005805984,0.001893489],"genre_scores_gemma":[0.9984127,0.0000474822,0.001417384,0.000004072864,0.00003436958,0.000003889973,0.00002784445,0.00001553171,0.00003673576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4663484,"threshold_uncertainty_score":0.4113059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863751223095214,"score_gpt":0.2360227036177003,"score_spread":0.2173851913867482,"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."}}