{"id":"W2052871880","doi":"10.1007/s00158-003-0287-6","title":"Structural natural-frequency shape-sensitivity analysis: a fixed-basis-function finite-element approach","year":2003,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Composite Material Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Finite element method; Extended finite element method; Mathematics; Sensitivity (control systems); Mathematical analysis; Boundary knot method; Mixed finite element method; Boundary value problem; Basis (linear algebra); Finite element limit analysis; Context (archaeology); Boundary (topology); Regular grid; Basis function; Method of fundamental solutions; Boundary element method; Geometry; Grid; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001565593,0.0003462924,0.0003397283,0.0001879524,0.0003775566,0.0001122859,0.0000763323,0.0001205546,0.0001239031],"category_scores_gemma":[0.00003074511,0.0003061353,0.0001100051,0.0006141475,0.0000383548,0.0003855915,0.00007008694,0.0001849651,0.000002237281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009989356,"about_ca_system_score_gemma":0.00001306154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001379605,"about_ca_topic_score_gemma":0.00002651836,"domain_scores_codex":[0.9985286,0.0001176571,0.0003560084,0.0004229497,0.0002089043,0.0003658596],"domain_scores_gemma":[0.9994249,0.00004755781,0.000083441,0.0002517127,0.00008641472,0.0001060259],"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":[0.00003401653,0.000005336614,0.001233649,0.00008410713,0.0002128286,0.000003605928,0.0002342489,0.9912208,0.004655402,0.001508828,0.000005833701,0.0008013172],"study_design_scores_gemma":[0.0004540632,0.00005447111,0.01247004,0.00001064827,0.0004631691,0.00002501723,0.0001196113,0.984439,0.000829461,0.0007407044,0.000004835005,0.0003889451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8608122,0.0003817964,0.1362993,0.00002116233,0.001278783,0.000446161,0.00004977108,0.0003494414,0.0003613096],"genre_scores_gemma":[0.9407444,0.00003102163,0.0585523,0.00001178034,0.0001078743,0.00002105854,0.0004734113,0.00003312573,0.00002502052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07993215,"threshold_uncertainty_score":0.9999391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008478534434021084,"score_gpt":0.2129943238237712,"score_spread":0.2045157893897501,"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."}}