{"id":"W2026209814","doi":"10.1088/0964-1726/15/6/032","title":"Sensitivity analysis and design optimization of smart laminated beams using layerwise theory","year":2006,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Sequential quadratic programming; Finite element method; Sensitivity (control systems); Displacement (psychology); Reduction (mathematics); Optimization problem; Actuator; Maximization; Optimal design; Mathematical optimization; Quadratic programming; Minification; Control theory (sociology); Engineering; Computer science; Structural engineering; Mathematics; Electronic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000239568,0.0001636643,0.0003648044,0.0002060829,0.00008149708,0.00008714741,0.00002855873,0.0000859692,0.00008718079],"category_scores_gemma":[0.00001003942,0.0001411792,0.0000431453,0.0002886893,0.0000527162,0.00009598213,0.00002390573,0.00003284302,7.038744e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001364211,"about_ca_system_score_gemma":0.000004883418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003597218,"about_ca_topic_score_gemma":0.00007897592,"domain_scores_codex":[0.9992054,0.0001353687,0.0002695817,0.0001706618,0.00009027446,0.0001287778],"domain_scores_gemma":[0.9996513,0.00005583795,0.00007903863,0.0001265561,0.00005750015,0.00002977782],"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":[0.00002830399,0.000002737186,0.001611811,0.00003614716,0.0001828743,0.00000184205,0.00005194042,0.8165416,0.1808746,0.0003813365,0.000006041555,0.0002808105],"study_design_scores_gemma":[0.0002513943,0.00002474287,0.06670211,0.00001313543,0.001000866,0.00001272648,0.00002097206,0.6650829,0.2642536,0.002372021,0.000007950623,0.000257577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6748828,0.0001603974,0.3247129,0.000002530662,0.00006546387,0.00007445375,0.00003116794,0.00003530928,0.0000350094],"genre_scores_gemma":[0.977825,0.0000545379,0.02196614,0.000006078771,0.00004629978,0.000001165664,0.00007773434,0.00001615077,0.000006929474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3029422,"threshold_uncertainty_score":0.5757121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005350232647024102,"score_gpt":0.1956773351750991,"score_spread":0.190327102528075,"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."}}