{"id":"W3199619374","doi":"10.3390/aerospace8090267","title":"Neuroevolutionary Control for Autonomous Soaring","year":2021,"lang":"en","type":"article","venue":"Aerospace","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Canadian Defence Academy","keywords":"Artificial neural network; Computer science; Network topology; Artificial intelligence; Control (management); Neuroevolution; Control engineering; Trajectory; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003333051,0.00009607634,0.0001282762,0.00002411746,0.00006730601,0.00001765643,0.00007594233,0.00008507424,0.00003344226],"category_scores_gemma":[0.00004297595,0.0001124646,0.00005990749,0.0001130321,0.00002115918,0.00007791258,0.00001900082,0.000101162,0.00008553813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000528155,"about_ca_system_score_gemma":0.00002505644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001826231,"about_ca_topic_score_gemma":0.00001830506,"domain_scores_codex":[0.9994621,0.000006092279,0.0001034814,0.0001478521,0.00005455155,0.0002258751],"domain_scores_gemma":[0.9996454,0.00005531485,0.0000174468,0.0001930451,0.00005032658,0.00003852083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004081722,0.000172189,0.02195944,0.000318433,0.0003860779,0.000131331,0.0005206597,0.1368139,0.4375851,0.1346276,0.2427427,0.02470171],"study_design_scores_gemma":[0.005416326,0.0001990262,0.02277524,0.0000571713,0.0001306139,0.00015523,0.00045743,0.3201538,0.1881505,0.007302816,0.453911,0.001290947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2453011,0.003193697,0.7315561,0.007564414,0.001640046,0.0005275944,0.00007098151,0.003673946,0.006472086],"genre_scores_gemma":[0.9932606,0.00004837098,0.003491522,0.0002643874,0.00008404108,0.00005894747,0.00001458099,0.00003105804,0.002746529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7479594,"threshold_uncertainty_score":0.4586172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00576684859933762,"score_gpt":0.1941652401722266,"score_spread":0.1883983915728889,"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."}}