{"id":"W4401534127","doi":"10.3390/drones8080392","title":"Novel Twist Morphing Aileron and Winglet Design for UAS Control and Performance","year":2024,"lang":"en","type":"article","venue":"Drones","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Canada Research Chairs","keywords":"Aileron; Morphing; Drag; Wingtip device; Twist; Lift-induced drag; Lift-to-drag ratio; Airfoil; Wing; Elevator; Actuator; Computer science; Aerospace engineering; Engineering; Structural engineering; Mathematics; Geometry; Artificial intelligence","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":[0.00008941328,0.00008237668,0.0000966263,0.00003262607,0.00006399983,0.00009360503,0.00002509876,0.00003735824,0.000005646508],"category_scores_gemma":[0.00001695102,0.00007780453,0.00001331592,0.00002983235,0.00002278801,0.0002055915,0.000005615869,0.00005653646,0.000004476859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009930903,"about_ca_system_score_gemma":0.000006190853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002061667,"about_ca_topic_score_gemma":0.000002630613,"domain_scores_codex":[0.9996501,0.000004070934,0.00008875887,0.0001013754,0.00004016273,0.0001155841],"domain_scores_gemma":[0.9997315,0.0001782188,0.000006599283,0.00004083992,0.00000968612,0.00003309476],"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":[0.0004169621,0.00006991519,0.002239529,0.004076795,0.0006203279,0.0000145339,0.005060802,0.3060435,0.4779102,0.0214417,0.00701095,0.1750948],"study_design_scores_gemma":[0.0005360195,0.00006920213,0.001415994,0.00006069351,0.00002877209,0.000009646878,0.00002188351,0.9936666,0.001086846,0.00007282801,0.002928709,0.000102846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1420993,0.001255649,0.8558335,0.0002092106,0.0001923327,0.0001803485,0.00001590888,0.0001584723,0.00005534033],"genre_scores_gemma":[0.9967505,0.00005201513,0.002878689,0.00005490081,0.0001490569,0.00004059325,0.000002383038,0.00001786753,0.00005398474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8546513,"threshold_uncertainty_score":0.3172776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667926775258548,"score_gpt":0.2025052580925276,"score_spread":0.1858259903399421,"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."}}