{"id":"W2955391078","doi":"10.22215/etd/2018-13284","title":"Development and Design Optimization of High Fidelity Reduced Order Models for Dynamic Aeroelasticity Loads Analyses of Complex Airframes","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Mitacs; Bombardier","keywords":"Airframe; Aeroelasticity; Engineering; Finite element method; Flight envelope; Process (computing); Computer science; Structural engineering; Aerospace engineering; Aerodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004877821,0.0006279417,0.0007448892,0.0004457144,0.0002687976,0.0009039784,0.0008053036,0.0008245207,0.002031079],"category_scores_gemma":[0.001048402,0.0005613709,0.001160547,0.0002966142,0.0003782571,0.0004880388,0.0005905778,0.0008646086,0.0006131521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000480343,"about_ca_system_score_gemma":0.001047315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003296332,"about_ca_topic_score_gemma":0.003728293,"domain_scores_codex":[0.999786,0.00004853158,0.000009134229,0.00002630664,0.0001064738,0.00002363186],"domain_scores_gemma":[0.999684,0.0001556284,0.00005181239,0.00003807396,0.00005748919,0.00001308447],"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":[0.000007697322,0.00001389697,0.0001785534,0.00004754652,0.000006880588,0.0000183662,0.00002532448,0.9872062,0.002501237,0.002470973,0.0001362899,0.007387056],"study_design_scores_gemma":[0.000002154381,0.00001389531,0.00005219418,0.000005195835,0.000002486926,0.000004411027,0.000005901864,0.9983657,0.0005129174,0.0004007634,0.0006322109,0.000002125518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02778599,0.0002095968,0.9652314,0.00007852305,0.00002002071,0.00009988471,0.0001427201,0.000359945,0.006071948],"genre_scores_gemma":[0.6360356,0.0009014311,0.3529542,0.00005318626,0.000027028,0.0007635466,0.00050538,0.0002487592,0.008510946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003296332,"threshold_uncertainty_score":0.006794691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1939939416103409,"score_gpt":0.3944833911086585,"score_spread":0.2004894494983176,"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."}}