{"id":"W3212702981","doi":"10.1016/j.jfluidstructs.2021.103428","title":"Aeroelastic mode decomposition framework and mode selection mechanism in fluid-membrane interaction","year":2020,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Ministry of Education - Singapore; National University of Singapore","keywords":"Aeroelasticity; Vortex shedding; Vibration; Dynamic mode decomposition; Fluid–structure interaction; Mode (computer interface); Physics; Natural frequency; Normal mode; Vortex; Mechanics; Control theory (sociology); Structural engineering; Engineering; Aerodynamics; Acoustics; Computer science; Reynolds number; Turbulence; Finite element method","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":[0.0004738803,0.0007061229,0.0003684238,0.0006960997,0.000296451,0.0005268559,0.0007242327,0.000476425,0.001661365],"category_scores_gemma":[0.0006148609,0.0002043601,0.0005288876,0.0003606234,0.0007011828,0.0009032811,0.000572273,0.0006026794,0.0003572607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000254516,"about_ca_system_score_gemma":0.0003475215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361436,"about_ca_topic_score_gemma":0.000770733,"domain_scores_codex":[0.9998301,0.00004567395,0.000006373402,0.00003873252,0.00005141576,0.00002778488],"domain_scores_gemma":[0.9998666,0.00004125322,0.00002805129,0.00001887943,0.00003030044,0.00001501827],"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":[0.0001162572,0.0001330811,0.004030951,0.0002617234,0.00007545617,0.0006409056,0.0005360749,0.454978,0.1257751,0.280735,0.001495749,0.1312216],"study_design_scores_gemma":[0.000003314916,0.00003314952,0.000772361,0.000009021917,0.000004735356,0.00007600727,0.0000482852,0.9740793,0.001866533,0.02171312,0.001378907,0.00001524395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02631912,0.0003981879,0.9715174,0.0000626601,0.0000254996,0.00002078081,0.00003761788,0.00008606444,0.00153261],"genre_scores_gemma":[0.5675861,0.001279574,0.4249347,0.00006870569,0.0001288578,0.0001876366,0.0001910299,0.0001280708,0.005495237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001661365,"threshold_uncertainty_score":0.005557775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061072906369847,"score_gpt":0.1941774935480891,"score_spread":0.1735667644843907,"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."}}