{"id":"W2328335733","doi":"10.2514/6.2013-4714","title":"Integrated Structure/Control Optimisation Applied to the BIOMASS Earth Observation Mission","year":2013,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control (GNC) Conference","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"NGC Aerospace (Canada)","funders":"","keywords":"Computer science; Spacecraft; Robust control; Robustness (evolution); Control engineering; Integrated design; Monte Carlo method; Systems engineering; Control system; Engineering; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006909236,0.0006084754,0.0005944967,0.0003560021,0.0003146614,0.0008143357,0.0003969207,0.0006064122,0.001316632],"category_scores_gemma":[0.000863199,0.0003000008,0.0005293841,0.0003478502,0.000468385,0.0002942249,0.0007520127,0.0007735264,0.0001812639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004851165,"about_ca_system_score_gemma":0.0008122803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002924566,"about_ca_topic_score_gemma":0.002313689,"domain_scores_codex":[0.999701,0.00008372345,0.000008950502,0.00003635201,0.0001368591,0.0000331553],"domain_scores_gemma":[0.9998268,0.00008349492,0.00003135873,0.00001447421,0.00003595352,0.000007861628],"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":[0.00002045223,0.000009618186,0.00009696835,0.00002970055,0.00001112058,0.00002568083,0.00002077903,0.981581,0.002091137,0.004304097,0.00007482457,0.0117346],"study_design_scores_gemma":[0.000004670985,0.00004621176,0.0001126774,0.000004656618,0.000006027405,0.000009990382,0.00000633532,0.9965572,0.0009323861,0.001600299,0.0007163656,0.000003164301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01916648,0.0002277691,0.972142,0.0000812213,0.0000297907,0.0000588467,0.00002026924,0.0001307723,0.008142801],"genre_scores_gemma":[0.829429,0.0003056927,0.1658993,0.0000487958,0.00002439519,0.0001922691,0.00006162017,0.00008307318,0.003955857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002924566,"threshold_uncertainty_score":0.005815089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009443243510492378,"score_gpt":0.1932034860482868,"score_spread":0.1837602425377944,"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."}}