{"id":"W4408734349","doi":"10.2139/ssrn.5189949","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; Subject (documents); Materials science; Computer science; Structural engineering; Acoustics; Mechanical engineering; Engineering; Composite material; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001312552,0.0005989352,0.001347889,0.0009014102,0.0001961012,0.0001409279,0.0006114769,0.0004190713,0.00004003447],"category_scores_gemma":[0.0002013141,0.0005115493,0.0007054087,0.0007808846,0.00002004258,0.0001383709,0.0001732023,0.003702852,0.000001265827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002142055,"about_ca_system_score_gemma":0.001291381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002017036,"about_ca_topic_score_gemma":0.0001398931,"domain_scores_codex":[0.9954464,0.0001814289,0.001062073,0.0003925097,0.0004903608,0.002427196],"domain_scores_gemma":[0.9987136,0.000141552,0.0004157722,0.0003507135,0.0002247967,0.0001536172],"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":[0.0003830906,0.00002866025,0.0005455873,0.0001663665,0.003700343,0.000003480106,0.0002833408,0.9270948,0.02753337,0.01462181,0.00005458057,0.02558459],"study_design_scores_gemma":[0.00279076,0.0002877801,0.000215032,0.0004494749,0.001740169,0.0002497089,0.0004733889,0.8197839,0.01884694,0.1538183,0.00004097321,0.001303534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6532789,0.009517435,0.3353125,0.00006914784,0.0008345237,0.0005538267,0.00001346783,0.0001330255,0.0002871852],"genre_scores_gemma":[0.9937722,0.00331509,0.002151462,0.00004032516,0.000505963,0.0000156168,0.00001848407,0.00006794339,0.0001129347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3404932,"threshold_uncertainty_score":0.9997336,"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."}}