{"id":"W2217865710","doi":"10.2514/1.c033252","title":"Design Segmented Stiff Skin for a Morphing Wing","year":2015,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Morphing; Wing; Airfoil; Wingspan; Chord (peer-to-peer); Segmentation; Computer science; Wing configuration; Wing twist; Angle of attack; Structural engineering; Aerodynamics; Artificial intelligence; 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":[0.0001501284,0.0006223002,0.0002697233,0.0004294894,0.0002646208,0.0004020639,0.0004442959,0.0004130918,0.001960194],"category_scores_gemma":[0.0002416255,0.0001902792,0.0004483071,0.0001952883,0.0002897578,0.0004194887,0.0004633636,0.0002556735,0.0004617762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002957416,"about_ca_system_score_gemma":0.000312942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000720065,"about_ca_topic_score_gemma":0.000579857,"domain_scores_codex":[0.9998655,0.00001348286,0.000008182167,0.00004347964,0.00004999439,0.00001934523],"domain_scores_gemma":[0.9999176,0.0000123794,0.00001555454,0.0000135996,0.00002978058,0.00001106607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000114361,0.00005344894,0.001679502,0.000380131,0.00004802522,0.000318918,0.0002794489,0.2003427,0.5359616,0.0201102,0.001893211,0.2388185],"study_design_scores_gemma":[0.0000264167,0.0003228007,0.001060119,0.0000226001,0.00004050092,0.0004181664,0.00006934071,0.9067146,0.0753994,0.004008525,0.01188087,0.00003666722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02693276,0.0001494032,0.9682592,0.00004338974,0.00004185524,0.0000678444,0.00002196858,0.0003658688,0.004117746],"genre_scores_gemma":[0.6052662,0.0001881334,0.390807,0.00005922586,0.00002404773,0.0001277624,0.0001002008,0.00009467769,0.003332817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001960194,"threshold_uncertainty_score":0.006557465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03803720829972689,"score_gpt":0.2432115912269741,"score_spread":0.2051743829272472,"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."}}