{"id":"W4409190382","doi":"10.2139/ssrn.5206952","title":"Controlled Morphing of Structures Using Smart Piezoelectric Patches Subject to Thermo-Electro-Mechanical Loading","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Morphing; Piezoelectricity; Smart material; Materials science; Subject (documents); Structural engineering; Composite material; Mechanical engineering; Computer science; Engineering; Artificial intelligence","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":[0.00005723331,0.0002036024,0.0002139341,0.0001135803,0.0001228451,0.0002974266,0.0002219867,0.0002764424,0.001901537],"category_scores_gemma":[0.0001559438,0.0001731392,0.0001395031,0.00009147873,0.0004434853,0.0002146551,0.0003236539,0.0002344142,0.0001411141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309049,"about_ca_system_score_gemma":0.00009600386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00016406,"about_ca_topic_score_gemma":0.0003368211,"domain_scores_codex":[0.9999648,0.000003167941,0.000001233711,0.00000906449,0.000010965,0.0000108318],"domain_scores_gemma":[0.9999399,0.00001777532,0.00001851775,0.00001226994,0.000004271162,0.000007229433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001660836,0.00007024968,0.0003614199,0.00009740802,0.00001967303,0.0001958952,0.00009150252,0.0354472,0.9499726,0.003079756,0.0003579936,0.01014005],"study_design_scores_gemma":[0.0001185647,0.0005903146,0.004984199,0.00001553114,0.00002861532,0.0002629886,0.0001051517,0.5087261,0.4804189,0.002610232,0.002105074,0.00003438292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978367,0.0001437641,0.01655732,0.0001207261,0.00006919489,0.00001557229,0.00003040317,0.00008370617,0.004612309],"genre_scores_gemma":[0.9961445,0.00006446846,0.002530006,0.00001992384,0.000008204925,0.000008238405,0.00001088102,0.00002212456,0.00119162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001901537,"threshold_uncertainty_score":0.006361246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009626892649635798,"score_gpt":0.2340272017217185,"score_spread":0.2244003090720827,"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."}}