{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000371548,0.0001463082,0.0001697488,0.0001088652,0.00001121166,0.00004679692,0.0001568352,0.0004123067,0.0002915732],"category_scores_gemma":[0.00001338492,0.0001567125,0.00006311366,0.00006057182,0.00001423275,0.00002843055,0.0001666721,0.0003691331,0.00006222101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006919851,"about_ca_system_score_gemma":0.00001688017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001634698,"about_ca_topic_score_gemma":0.00008022982,"domain_scores_codex":[0.9994814,0.00000758388,0.0001163818,0.0001806565,0.00007594111,0.0001379764],"domain_scores_gemma":[0.9995701,0.00001040628,0.0000125506,0.0003522573,0.00002759222,0.00002705541],"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":[0.000009624641,0.0002647645,0.008600925,0.004623501,0.001155264,0.001332201,0.001937688,0.05287671,0.1959235,0.01258533,0.03353575,0.6871548],"study_design_scores_gemma":[0.000553454,0.00003783916,0.005395716,0.0004695607,0.0001313882,0.0001058771,0.0003508389,0.7256711,0.245879,0.004997427,0.01462283,0.001785041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3209579,0.003035794,0.5617634,0.00033661,0.003583634,0.0003984742,0.000003924612,0.005748368,0.1041718],"genre_scores_gemma":[0.987932,0.0001960393,0.0109716,0.00003248452,0.00006241491,0.00004069588,0.00002346951,0.00003233953,0.0007089158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6853697,"threshold_uncertainty_score":0.639055,"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."}}