{"id":"W4247629225","doi":"10.32920/ryerson.14647989.v1","title":"CubeSat attitude determination","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"CubeSat; Aerospace engineering; Software deployment; Orientation (vector space); Mode (computer interface); Satellite; Eclipse; Attitude control; Remote sensing; Drag; Physics; Computer science; Geology; Engineering; Astronomy","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":[0.0003988658,0.0008645197,0.0005142905,0.0007345239,0.0005831281,0.001175153,0.0005692366,0.0004428892,0.009311737],"category_scores_gemma":[0.001842434,0.0003412158,0.0004588692,0.0007334247,0.0002215699,0.0008493873,0.001456136,0.001013041,0.008741285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000457178,"about_ca_system_score_gemma":0.0009245402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003510569,"about_ca_topic_score_gemma":0.00400794,"domain_scores_codex":[0.9992647,0.00005098946,0.00002444458,0.0001405545,0.0004565562,0.0000627937],"domain_scores_gemma":[0.9993894,0.00003373924,0.00004635383,0.0001342825,0.0003721828,0.00002398545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003091248,0.00006268929,0.006548821,0.0003145527,0.0001107509,0.0001130988,0.0004833319,0.06255845,0.08081874,0.03908648,0.07603553,0.7335584],"study_design_scores_gemma":[0.00008569289,0.0003051386,0.009066127,0.0001612037,0.00007492558,0.0007209568,0.000485251,0.3735763,0.13681,0.03282292,0.445725,0.0001665929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03237136,0.0007357279,0.8592969,0.000392022,0.0009477317,0.0002353843,0.004214855,0.007265939,0.09454014],"genre_scores_gemma":[0.4140623,0.001888858,0.5013186,0.0007370099,0.0003666824,0.0005944647,0.02114393,0.003158356,0.05672983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009311737,"threshold_uncertainty_score":0.03115088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307757307555539,"score_gpt":0.2260825977552403,"score_spread":0.213005024679685,"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."}}