{"id":"W2908140950","doi":"10.1061/(asce)as.1943-5525.0000972","title":"Review of Model Order Reduction Methods and Their Applications in Aeroelasticity Loads Analysis for Design Optimization of Complex Airframes","year":2018,"lang":"en","type":"article","venue":"Journal of Aerospace Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada); Carleton University","funders":"Mitacs; Bombardier","keywords":"Airframe; Aeroelasticity; Reduction (mathematics); Model order reduction; Computer science; Finite element method; Control theory (sociology); Engineering; Structural engineering; Mathematics; Algorithm; Aerodynamics; Aerospace engineering; Projection (relational algebra)","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":[0.0005763181,0.0001166574,0.0004426704,0.000299169,0.00001772775,0.00000511044,0.00009584754,0.00006238688,0.000002397364],"category_scores_gemma":[0.0001642507,0.0001017331,0.00007448889,0.0007093301,0.00002842795,0.0001174763,0.00001304045,0.0001198035,1.200109e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007913309,"about_ca_system_score_gemma":0.00002052332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004236711,"about_ca_topic_score_gemma":5.106465e-7,"domain_scores_codex":[0.9991838,0.00002624459,0.0005233153,0.00007578066,0.00007504632,0.0001158278],"domain_scores_gemma":[0.9990742,0.0001721369,0.0002230935,0.000123399,0.0003611831,0.00004594315],"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":[0.000008342527,0.0000058733,0.00005323125,0.001421355,0.00007996679,1.855764e-8,0.0001527414,0.9822836,0.01418989,0.00003605417,0.00003977467,0.00172917],"study_design_scores_gemma":[0.0001056416,0.00007946113,0.000693536,0.000865187,0.0001111177,0.000004567258,0.00002793001,0.9633599,0.03457154,0.00007792814,0.00002502371,0.00007817326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01659307,0.003494969,0.9794944,0.00003120028,0.00007203668,0.0002718509,0.000004193041,0.00003562432,0.000002644034],"genre_scores_gemma":[0.3518816,0.002151549,0.6458918,0.000002209277,0.00004575426,0.00001204101,0.000001140358,0.00001335826,6.176568e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3352885,"threshold_uncertainty_score":0.4148554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04995138784051668,"score_gpt":0.3600752971833647,"score_spread":0.310123909342848,"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."}}