{"id":"W2089091794","doi":"10.1016/j.actaastro.2012.12.009","title":"Design and implementation of the GPS subsystem for the Radio Aurora eXplorer","year":2013,"lang":"en","type":"article","venue":"Acta Astronautica","topic":"GNSS positioning and interference","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Michigan; National Science Foundation","keywords":"Global Positioning System; Computer science; Remote sensing; Geodesy; Aerospace engineering; Real-time computing; Engineering; Telecommunications; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005080812,0.00052345,0.0003723426,0.0005006536,0.0004454697,0.000856926,0.001116214,0.0005374385,0.004288768],"category_scores_gemma":[0.0005691406,0.0002887385,0.0002861005,0.0001880404,0.000264085,0.0003360648,0.000471175,0.0004788814,0.00186546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004567289,"about_ca_system_score_gemma":0.001413098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003869099,"about_ca_topic_score_gemma":0.002950007,"domain_scores_codex":[0.9995549,0.00006598228,0.00001730131,0.00008300228,0.0001928556,0.0000858436],"domain_scores_gemma":[0.9996712,0.00003219408,0.0000336664,0.00004419145,0.0001855515,0.00003314429],"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":[0.0009584792,0.0002574074,0.01752168,0.0008400833,0.0002708361,0.0009637625,0.00165277,0.07634799,0.5162816,0.02067854,0.01197804,0.3522487],"study_design_scores_gemma":[0.0004320474,0.003239599,0.02285317,0.000152091,0.0003754603,0.001182242,0.0004658205,0.3617456,0.3964005,0.002037579,0.2109718,0.0001441601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1487053,0.0006581926,0.8092374,0.0003459897,0.000215154,0.0008484757,0.000557723,0.01204933,0.02738252],"genre_scores_gemma":[0.7583619,0.0002320476,0.2245149,0.0001850124,0.00005570199,0.0003900562,0.0006070627,0.0004126912,0.0152406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004288768,"threshold_uncertainty_score":0.01434731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174798535798187,"score_gpt":0.229806627056939,"score_spread":0.2123267734771203,"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."}}