{"id":"W2998878474","doi":"10.1002/navi.348","title":"Flight results of GPS‐based attitude determination for the Canadian CASSIOPE satellite","year":2020,"lang":"en","type":"article","venue":"NAVIGATION Journal of the Institute of Navigation","topic":"GNSS positioning and interference","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Global Positioning System; Payload (computing); Remote sensing; Satellite; Computer science; Profiling (computer programming); Laptop; Geodesy; Aerospace engineering; Engineering; Geography; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003866923,0.00009941302,0.0001589287,0.00006416976,0.0001502045,0.0000350648,0.0003160603,0.00007964821,0.000001973058],"category_scores_gemma":[0.0002234244,0.00006719473,0.0001310378,0.0002748125,0.00009202283,0.0003267673,0.000008858119,0.0002138842,0.000001463914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458429,"about_ca_system_score_gemma":0.0002230761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006295813,"about_ca_topic_score_gemma":0.0008030322,"domain_scores_codex":[0.998852,0.00003596114,0.0006367489,0.00007328726,0.0003001917,0.0001018647],"domain_scores_gemma":[0.9986175,0.00009526542,0.0004785192,0.0001468661,0.0005787474,0.00008307252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003833863,0.00005670272,0.001042826,0.0006337716,0.0001797917,0.000006479016,0.004237126,0.8090955,0.1312046,0.001988951,0.001817993,0.04935288],"study_design_scores_gemma":[0.002411037,0.0004061271,0.01309123,0.00267138,0.0002402076,0.00005437036,0.0001226263,0.2816891,0.678938,0.0006685128,0.01944895,0.0002584586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421339,0.0005447196,0.04417045,0.008431998,0.002549519,0.0006904912,0.0001826909,0.00003493538,0.001261311],"genre_scores_gemma":[0.9974463,0.00001429874,0.002257351,0.00007883226,0.0001391183,0.000004656171,0.00003897298,0.00001087612,0.000009570699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5477334,"threshold_uncertainty_score":0.2740122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077209635771596,"score_gpt":0.2593155266885981,"score_spread":0.2285434303308821,"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."}}