{"id":"W4220967338","doi":"10.1117/12.2615282","title":"Finite element simulation of conducting polymer actuators","year":2022,"lang":"en","type":"article","venue":"","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Finite element method; Actuator; Electroactive polymers; Capacitance; Haptic technology; Displacement (psychology); Conductive polymer; Composite material; Elastic modulus; Viscoelasticity; Polymer; Mechanical engineering; Computer science; Structural engineering; Engineering; Simulation; Electrical engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009090831,0.00005335481,0.00007931517,0.00005178471,0.00004020409,0.000006609953,0.00004992334,0.000009753868,0.004610374],"category_scores_gemma":[0.000009996437,0.00005215026,0.00002254691,0.0001101771,0.00000356424,0.00004031485,0.00002584521,0.00003840278,0.000004556858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002395565,"about_ca_system_score_gemma":0.000005885873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001589469,"about_ca_topic_score_gemma":4.398935e-7,"domain_scores_codex":[0.9995723,0.00001073721,0.0001530747,0.00005436547,0.0001080761,0.0001014032],"domain_scores_gemma":[0.9998307,0.00005074277,0.00002539716,0.00006838689,0.000007353297,0.00001737435],"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":[0.000004542897,0.00001740775,0.00007711967,0.00002487598,0.00003010519,0.000001061631,0.0002710106,0.9570312,0.02263343,0.0008125403,0.0003835592,0.01871313],"study_design_scores_gemma":[0.0002231704,0.00005634847,0.00002336826,0.000002493723,0.00001125156,7.460836e-7,0.000348705,0.5754861,0.4130216,0.0001068373,0.01056788,0.0001515281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757794,0.00007156493,0.01486328,0.00001548546,0.0004304837,0.00008860511,0.000010637,0.0001404238,0.008600153],"genre_scores_gemma":[0.9996256,0.000002467744,0.00008858571,0.00002842249,0.00002656162,0.000008606441,0.000006906766,0.00001150934,0.0002013307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3903882,"threshold_uncertainty_score":0.9962996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997727302980495,"score_gpt":0.231023031296994,"score_spread":0.2110457582671891,"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."}}