{"id":"W2147182458","doi":"10.1109/cdc.1992.371505","title":"Slew-maneuver control for large flexible spacecraft under random noise","year":2005,"lang":"en","type":"article","venue":"","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Spacecraft; Noise (video); Control theory (sociology); Computer science; Random noise; Vibration; Random vibration; Rigid body; Simulation; Control (management); Engineering; Aerospace engineering; Algorithm; Physics; Artificial intelligence; Acoustics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002363252,0.000167173,0.0002821682,0.00005766494,0.0001117924,0.00004802329,0.0001184072,0.00009982262,0.001498354],"category_scores_gemma":[0.00007727705,0.0001551071,0.0001953299,0.00007869451,0.0000231916,0.0001766774,0.00001077305,0.00009543468,0.0001704291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007155709,"about_ca_system_score_gemma":0.00002017872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001059873,"about_ca_topic_score_gemma":0.0006203357,"domain_scores_codex":[0.9990076,0.00002483311,0.0002629846,0.0001949196,0.0001379273,0.0003717033],"domain_scores_gemma":[0.9991404,0.0003870798,0.00001730722,0.0002819945,0.00007033825,0.0001028819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00212329,0.001626694,0.003292064,0.0005407387,0.00137936,0.000001259874,0.001704659,0.6130522,0.03632104,0.2788444,0.02924109,0.0318732],"study_design_scores_gemma":[0.02235215,0.00006817558,0.002605732,0.00000960875,0.0001432027,0.000001029213,0.0001487205,0.8820382,0.002943753,0.007531711,0.08171996,0.0004377694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04350749,0.0002044535,0.9460358,0.003328499,0.0002677682,0.0008899508,0.00007956331,0.000595895,0.005090578],"genre_scores_gemma":[0.9954031,0.000006708192,0.001703252,0.0005426864,0.0002405622,0.0001723371,0.00001770148,0.00002716016,0.001886494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9518956,"threshold_uncertainty_score":0.9994144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126481762711515,"score_gpt":0.2320488107734587,"score_spread":0.2207839931463436,"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."}}