{"id":"W2908938413","doi":"10.2514/6.2019-1175","title":"Using a Complimentary Filter for Attitude Estimation During Sun Acquisition","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"NGC Aerospace (Canada)","funders":"","keywords":"Estimation; Computer science; Filter (signal processing); Computer vision; Artificial intelligence; Engineering","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":[0.00007164882,0.0001241645,0.0001232833,0.00009306485,0.00009547781,0.00003900109,0.00007903232,0.00007772695,0.00008924363],"category_scores_gemma":[0.000002755172,0.0001311231,0.0000636253,0.0001095163,0.00001054238,0.0003657132,0.00002285766,0.00007098189,0.0001599435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001373562,"about_ca_system_score_gemma":0.00000477417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003779286,"about_ca_topic_score_gemma":0.00000517176,"domain_scores_codex":[0.9992558,0.000007110202,0.0001777265,0.0001512203,0.0001254497,0.0002826753],"domain_scores_gemma":[0.9997061,0.00002252715,0.00003259468,0.0001666029,0.00003595527,0.00003625087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005936025,0.00002144355,0.004489283,0.0001992042,0.00004637094,0.000001058231,0.00009778204,0.1534984,0.8385263,0.0005187392,0.001275398,0.001266653],"study_design_scores_gemma":[0.001100944,0.00007211156,0.009382458,0.0001421013,0.00003331081,0.00001482129,0.00004172011,0.7908469,0.1965063,0.00104042,0.0004772363,0.0003416984],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514737,0.00006362978,0.04669098,0.00009142679,0.0005569888,0.0005308135,0.00003776301,0.0002186114,0.0003360682],"genre_scores_gemma":[0.9883175,0.000003097832,0.01115905,0.00008406067,0.00009257691,0.00001495484,0.0001844239,0.0000345443,0.0001098232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.64202,"threshold_uncertainty_score":0.5347045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184799753304939,"score_gpt":0.2503142184465962,"score_spread":0.2384662209135468,"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."}}