{"id":"W2157383581","doi":"10.1115/pvp2004-2742","title":"On the Implementation of Novel Generalised Nonlinear Constraints in Explicit Finite Element Formulations","year":2004,"lang":"en","type":"article","venue":"","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada); University of Toronto","funders":"","keywords":"Finite element method; Robustness (evolution); Salient; Constraint (computer-aided design); Nonlinear system; Computer science; Mixed finite element method; Algorithm; Mathematical optimization; Beam (structure); Applied mathematics; Mathematics; Structural engineering; Engineering; Geometry; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.00004832787,0.00005956048,0.00006908709,0.00008040194,0.00002241596,0.000009873235,0.00004435883,0.00001612806,0.000374148],"category_scores_gemma":[0.000003264311,0.0000433189,0.00003300264,0.0001789579,0.00000688268,0.00004211861,0.000006228002,0.00003495897,0.000001427509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004697512,"about_ca_system_score_gemma":0.000008730786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009103329,"about_ca_topic_score_gemma":0.0006457359,"domain_scores_codex":[0.9995723,0.000003865711,0.0002073888,0.0000576624,0.00008364994,0.00007509641],"domain_scores_gemma":[0.9998161,0.00002913995,0.00002507277,0.0000942943,0.00002346247,0.00001191104],"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":[0.000001110578,0.00001423673,0.0002143128,0.000002587898,0.00001645491,8.357682e-8,0.0002467789,0.9608976,0.006040285,0.03183066,0.00001182778,0.0007240729],"study_design_scores_gemma":[0.001543212,0.00004300114,0.006579165,0.00001563951,0.00002218206,4.1739e-7,0.0003690176,0.9443839,0.04601024,0.0008344054,0.00007336387,0.0001254473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6408816,0.000004400966,0.3574424,0.0001697897,0.00002470849,0.0001620426,0.0000207795,0.00002059488,0.001273644],"genre_scores_gemma":[0.9881076,0.000008193706,0.01169726,0.0000901977,0.00001367574,0.000008563153,0.00006483466,0.000005834501,0.000003848245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.347226,"threshold_uncertainty_score":0.4096658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127620225037147,"score_gpt":0.2555679127004202,"score_spread":0.2428058901967055,"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."}}