{"id":"W4385873037","doi":"10.3390/aerospace10080718","title":"EVTOL Tilt-Wing Aircraft Design under Uncertainty Using a Multidisciplinary Possibilistic Approach","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Multidisciplinary design optimization; Conceptual design; Wing configuration; Aerodynamics; Computer science; Stability (learning theory); Airworthiness; Tilt (camera); Automotive engineering; Simulation; Engineering; Aerospace engineering; Multidisciplinary approach; Mechanical 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":[0.0003544822,0.0002652769,0.000231368,0.00007274593,0.0004062925,0.00004470277,0.0004232003,0.0001555277,0.0001040966],"category_scores_gemma":[0.000130436,0.0002337253,0.00008114514,0.001007835,0.000401021,0.0002960252,0.000586578,0.0002478573,0.0006372449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003803254,"about_ca_system_score_gemma":0.00002507175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568676,"about_ca_topic_score_gemma":0.00002106954,"domain_scores_codex":[0.9980781,0.00007925901,0.0002106636,0.0006469178,0.0003535433,0.0006314858],"domain_scores_gemma":[0.9990347,0.0001983655,0.00008440379,0.000564995,0.000009612048,0.0001079355],"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":[0.00002607543,0.00007414728,0.005567639,0.00001400056,0.00001438831,0.00004191585,0.0005667353,0.9114938,0.07945672,0.0002167635,0.0009900066,0.0015378],"study_design_scores_gemma":[0.0007535104,0.0001392601,0.02272485,0.00005469965,0.0000439226,0.00004854017,0.004128797,0.9461976,0.005243254,0.01960041,0.0002382455,0.0008269518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5254079,0.00005268481,0.4709956,0.0003368125,0.000125393,0.0005491753,0.000005030636,0.001408385,0.001119046],"genre_scores_gemma":[0.8983579,0.00001613759,0.09967747,0.00006574375,0.00002379204,0.00004371411,0.000007911854,0.00004210547,0.001765179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3729501,"threshold_uncertainty_score":0.953104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05649623010959334,"score_gpt":0.2916827803596675,"score_spread":0.2351865502500742,"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."}}