{"id":"W4205812124","doi":"10.2514/6.2022-1417","title":"Robust Neurocontrol for Autonomous Dynamic Soaring","year":2022,"lang":"en","type":"article","venue":"AIAA SCITECH 2022 Forum","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Robustness (evolution); Computer science; Exploit; Neuroevolution; Robust control; Range (aeronautics); Network topology; Control engineering; Control theory (sociology); Artificial neural network; Control system; Artificial intelligence; Engineering; Control (management); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001289455,0.0001414804,0.0001680938,0.000173402,0.0003663974,0.00002723125,0.0003264989,0.00006328095,0.0002014793],"category_scores_gemma":[0.00001888864,0.0001704833,0.00009430837,0.0003171007,0.0000224854,0.0001063643,0.0001773555,0.0003182979,0.00002253398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000183583,"about_ca_system_score_gemma":0.00002093413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006562425,"about_ca_topic_score_gemma":0.00004245965,"domain_scores_codex":[0.998982,0.00001011152,0.0001878674,0.0002320402,0.0001350475,0.000452913],"domain_scores_gemma":[0.9995825,0.00003981838,0.00004071336,0.0002786261,0.00001687804,0.00004143651],"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":[0.00004436313,0.00009982054,0.001721622,0.0001009886,0.0001526686,0.00002927677,0.0002581929,0.7485877,0.07780337,0.02081203,0.05530009,0.0950899],"study_design_scores_gemma":[0.0009596538,0.0002244344,0.0002230806,0.000003735584,0.00002302988,0.0000269523,0.0006237446,0.7925936,0.002423863,0.004034916,0.1984862,0.0003767804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3148144,0.002094141,0.6463009,0.01542491,0.005388856,0.003106277,0.0004849471,0.008525083,0.003860448],"genre_scores_gemma":[0.9956526,0.0000146494,0.001334306,0.0003957162,0.00002897671,0.0007569446,0.00004399311,0.00006316233,0.001709717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6808381,"threshold_uncertainty_score":0.6952108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00684670894064698,"score_gpt":0.1922869142244345,"score_spread":0.1854402052837875,"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."}}