{"id":"W2051787597","doi":"10.1109/epep.2006.321248","title":"Generation of Geometrically Parameterized Reduced Order Models for Full Wave Problems","year":2006,"lang":"en","type":"article","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Western University","funders":"","keywords":"Parameterized complexity; Reduction (mathematics); Model order reduction; Finite element method; Range (aeronautics); Computer science; Transformation (genetics); Mathematical optimization; Algorithm; Space (punctuation); Applied mathematics; Mathematics; Geometry; Engineering; Structural engineering","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":[0.0002899692,0.0005341073,0.0006783327,0.0003329323,0.0002364149,0.0005762821,0.0007834347,0.0006973958,0.002461697],"category_scores_gemma":[0.001178715,0.000423771,0.0008333499,0.0002077658,0.000428832,0.00100455,0.000638584,0.001052228,0.00071416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333363,"about_ca_system_score_gemma":0.0008011941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007297192,"about_ca_topic_score_gemma":0.00179809,"domain_scores_codex":[0.9997589,0.00004660719,0.000007878363,0.00001931334,0.0001517978,0.00001547809],"domain_scores_gemma":[0.9996728,0.0001390486,0.00003548549,0.00009426264,0.00004759437,0.00001087395],"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":[0.00002610843,0.00003476624,0.0002293279,0.0000773231,0.00001801582,0.00005889251,0.00006954133,0.9175318,0.01704674,0.03701385,0.0008044399,0.02708914],"study_design_scores_gemma":[0.000005762575,0.00001346692,0.0000354147,0.000003485489,0.000002605571,0.00001628737,0.00000853019,0.9899429,0.002641079,0.005752585,0.001572972,0.000004880756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01362368,0.00004027882,0.9830559,0.00005886256,0.00001557332,0.0000349615,0.00007178196,0.0002944099,0.002804375],"genre_scores_gemma":[0.4372148,0.0002595166,0.5546673,0.00009907684,0.00002197481,0.0003282856,0.0007182778,0.0004628976,0.006227896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002461697,"threshold_uncertainty_score":0.008235216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08288730157035026,"score_gpt":0.2648005388504782,"score_spread":0.181913237280128,"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."}}