{"id":"W2064803441","doi":"10.1007/s001580050183","title":"Shape sensitivity analysis using a fixed basis function finite element approach","year":2001,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Composite Material Mechanics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Praxis Spinal Cord Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Aalborg Universitet","keywords":"Finite element method; Sensitivity (control systems); Mathematics; Mathematical analysis; Basis (linear algebra); Extended finite element method; Boundary (topology); Finite element limit analysis; Mixed finite element method; Boundary knot method; Basis function; Function (biology); Grid; Boundary value problem; Boundary element method; Applied mathematics; Geometry; Physics","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":[0.00103104,0.0006965147,0.0009760477,0.001026588,0.0004690388,0.0007259733,0.001052557,0.001511902,0.002885043],"category_scores_gemma":[0.003158594,0.0007016693,0.001205137,0.0005761352,0.0006785279,0.0009102282,0.001005422,0.000713146,0.0003376569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005836822,"about_ca_system_score_gemma":0.0005505463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002465786,"about_ca_topic_score_gemma":0.001587785,"domain_scores_codex":[0.9994456,0.0001781422,0.00001629875,0.00006248419,0.0002487556,0.00004862354],"domain_scores_gemma":[0.9990126,0.0006745495,0.00004956226,0.0001045212,0.0001409558,0.00001774855],"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":[0.00002172544,0.00002722064,0.0001624119,0.00002423631,0.00002389835,0.00003863508,0.0000152221,0.9798623,0.005121278,0.005591297,0.0001522479,0.008959544],"study_design_scores_gemma":[0.000001129128,0.000006517491,0.00007821277,0.000001524421,0.000003793238,0.000008967227,0.000002323209,0.9981192,0.0008794272,0.0007888553,0.000106472,0.000003548514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03702365,0.0001360936,0.9542713,0.0001213741,0.00005529854,0.00006177976,0.00006871824,0.0003159878,0.007945847],"genre_scores_gemma":[0.8608255,0.0002140687,0.1324931,0.0001333747,0.00003726871,0.000167582,0.0001118994,0.0002301692,0.005786966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002885043,"threshold_uncertainty_score":0.009651423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142730230810273,"score_gpt":0.2276225976116553,"score_spread":0.213349574530628,"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."}}