{"id":"W2324908178","doi":"10.1115/pvp2004-2862","title":"A 3D Variational BEM Formulation for Fluid-Structure Interaction in Viscous Compressible Flow","year":2004,"lang":"en","type":"article","venue":"","topic":"Numerical methods in engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Discretization; Finite element method; Boundary element method; Compressibility; Collocation (remote sensing); Fluid–structure interaction; Compressible flow; Domain (mathematical analysis); Mathematics; Boundary (topology); Flow (mathematics); Fluid dynamics; Mathematical analysis; Applied mathematics; Computer science; Physics; Mechanics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007033088,0.0001136456,0.000125225,0.0001183351,0.00002295729,0.00002339223,0.00006440969,0.00007834283,0.0000655562],"category_scores_gemma":[0.00006090857,0.0001141279,0.00003270823,0.0001664668,0.00000304905,0.0002676102,0.00001145265,0.0001244201,0.000004110795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002216069,"about_ca_system_score_gemma":0.000008442764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001320139,"about_ca_topic_score_gemma":0.00001687079,"domain_scores_codex":[0.9994006,0.000006819667,0.0002072362,0.0001194442,0.00009389211,0.0001720669],"domain_scores_gemma":[0.9997222,0.0001037984,0.00001581071,0.00009980486,0.00002467542,0.00003367176],"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":[0.000008542973,0.000008553318,0.00002872068,0.00004007787,0.00001054892,4.469205e-7,0.00009404446,0.9610994,0.0270944,0.003113963,0.00002456773,0.008476747],"study_design_scores_gemma":[0.0005676226,0.0000179142,0.001014923,0.00002913633,0.000004887891,0.000005032012,0.000009405841,0.979067,0.01059789,0.007718975,0.0008323767,0.0001348083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02029769,0.00002576427,0.9777215,0.00003467286,0.0007133569,0.0002239578,0.00001185598,0.0002452366,0.0007259379],"genre_scores_gemma":[0.5244966,0.000001492282,0.4753281,0.00001562511,0.00008843157,0.00002394094,0.00001864631,0.00001814965,0.000009105132],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5041988,"threshold_uncertainty_score":0.4654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400940502985626,"score_gpt":0.2770075619306557,"score_spread":0.2629981569007994,"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."}}