{"id":"W4413426075","doi":"10.1109/icma65362.2025.11120782","title":"Modelling of a Piezoelectric Actuator under Large Deformation for Smart Structure Applications","year":2025,"lang":"en","type":"article","venue":"","topic":"Material Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Actuator; Piezoelectricity; Deformation (meteorology); Smart material; Materials science; Computer science; Mechanical engineering; Engineering; Composite material; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001066758,0.00006906447,0.0001083154,0.00005664234,0.0001584378,0.00003804107,0.000145969,0.00004918896,0.0002667508],"category_scores_gemma":[0.000005678961,0.00005247837,0.00003273171,0.0001809636,0.00001775439,0.00009893693,0.00003021478,0.00002366591,0.0000136961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002419216,"about_ca_system_score_gemma":0.00005173132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000566963,"about_ca_topic_score_gemma":0.00001161822,"domain_scores_codex":[0.9994065,0.000008984158,0.000232897,0.0001375337,0.00006595649,0.000148118],"domain_scores_gemma":[0.9995695,0.00002956607,0.00007194588,0.0001992223,0.0001084027,0.00002131906],"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":[0.00003271535,0.00005875916,0.00001054761,0.0001758108,0.000008875266,4.012543e-9,0.00007725981,0.007680106,0.5728931,0.4165967,0.0008384722,0.001627674],"study_design_scores_gemma":[0.0004558995,0.00003177613,0.00001641149,0.00001711247,0.00003890304,5.517053e-7,0.0002206897,0.3264177,0.5708619,0.07652834,0.02525962,0.0001510941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1844458,0.00002734464,0.8136761,0.0002090208,0.00004653569,0.0005924877,0.00008966692,0.00004391603,0.0008691758],"genre_scores_gemma":[0.978709,0.000005989647,0.0201192,0.0001772041,0.0000266227,0.0002960277,0.00003740796,0.000005726659,0.0006228606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7942632,"threshold_uncertainty_score":0.2920735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924396059988337,"score_gpt":0.2499363321326448,"score_spread":0.2306923715327614,"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."}}