{"id":"W7132863439","doi":"","title":"Efficient Aircraft Flutter Analysis using Model Order Reduction with Error Estimation","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies","funders":"","keywords":"Aeroelasticity; Flutter; Aerodynamics; Control theory (sociology); Estimator; Reduction (mathematics); Approximation error","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002200314,0.0007674846,0.0008330099,0.0007160524,0.001085425,0.0001901948,0.0002431746,0.0002245134,0.00378461],"category_scores_gemma":[0.000003753159,0.0007627447,0.000512964,0.002842147,0.00008185118,0.000144783,0.00006466408,0.001006738,0.00003270286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321492,"about_ca_system_score_gemma":0.0004714594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004735913,"about_ca_topic_score_gemma":0.00001508012,"domain_scores_codex":[0.9964328,0.0001926423,0.0006676089,0.001211981,0.0008596684,0.0006352983],"domain_scores_gemma":[0.997777,0.00002476747,0.0008945156,0.0006930693,0.0003872633,0.000223365],"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":[0.0004035407,0.0003223721,0.00003443595,0.00005455787,0.001280095,0.000001762638,0.007506728,0.9850785,0.001408541,0.0002204059,0.0001904962,0.003498626],"study_design_scores_gemma":[0.0005507901,0.00009331231,0.00003431089,0.00007204977,0.004534506,0.000004968921,0.01292816,0.9801298,0.0006933522,0.00005672405,0.0001104788,0.0007915804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5651231,0.00008005293,0.4325174,0.0001786916,0.0005534242,0.0005588596,0.00002073254,0.00004898208,0.0009186514],"genre_scores_gemma":[0.9635227,0.000008249369,0.01283064,0.00004618067,0.0003597301,0.0001515152,0.002938723,0.0001234131,0.0200189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4196868,"threshold_uncertainty_score":0.9994823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02540381782658973,"score_gpt":0.3366156836027075,"score_spread":0.3112118657761178,"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."}}