{"id":"W2128341577","doi":"10.1017/s0022112009006363","title":"Local improvements to reduced-order models using sensitivity analysis of the proper orthogonal decomposition","year":2009,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Basis (linear algebra); Attractor; Sensitivity (control systems); Reynolds number; Orthogonal basis; Flow (mathematics); Applied mathematics; Representation (politics); Point of delivery; Forcing (mathematics); Parameter space; Computer science; Mathematical optimization; Mathematics; Mathematical analysis; Turbulence; Physics; Mechanics; Statistics; Geometry","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":[0.001536939,0.0008626033,0.000957797,0.0005699935,0.0003147106,0.0005951693,0.0006645924,0.0005619555,0.001457837],"category_scores_gemma":[0.004253613,0.0005378992,0.001216933,0.0002931204,0.0005833682,0.0009685119,0.001224372,0.001125871,0.0002993731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005535532,"about_ca_system_score_gemma":0.0006726259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00283357,"about_ca_topic_score_gemma":0.002486979,"domain_scores_codex":[0.9996409,0.000176663,0.0000216769,0.00004804464,0.00008249251,0.00003022532],"domain_scores_gemma":[0.9987412,0.0007307279,0.0001089999,0.0002232393,0.0001604242,0.00003544647],"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":[0.00002392941,0.00002510037,0.0002569415,0.00002700574,0.00002618804,0.00002369754,0.00003230481,0.9810563,0.002270869,0.003969136,0.0001551632,0.01213334],"study_design_scores_gemma":[9.52668e-7,0.000005051359,0.00001900257,8.515345e-7,0.000001324326,0.000001699883,8.542446e-7,0.9990878,0.0002010051,0.0006384536,0.00004174854,0.000001310575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05305902,0.0001254209,0.9444733,0.0001180311,0.00002514264,0.0000384088,0.00003408115,0.0006440373,0.001482476],"genre_scores_gemma":[0.7856169,0.0002160251,0.2117095,0.00008103338,0.00003767619,0.0001429143,0.0001638909,0.0002202594,0.001811828],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00283357,"threshold_uncertainty_score":0.008128166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213847694096146,"score_gpt":0.2827264594758193,"score_spread":0.2613416900662047,"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."}}