{"id":"W2781665994","doi":"10.2514/6.2018-0336","title":"Modelling and Compensation of Hysteresis in Polarization of Piezoelectric Actuators","year":2018,"lang":"en","type":"article","venue":"","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Hysteresis; Polarization (electrochemistry); Actuator; Compensation (psychology); Piezoelectricity; Materials science; Electrical engineering; Engineering; Physics; Condensed matter physics; Composite material; Psychology","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":[0.0003066857,0.000319904,0.0003760219,0.0002426998,0.0002426297,0.0006883483,0.0006011577,0.0009463027,0.0007172412],"category_scores_gemma":[0.001269727,0.0003512351,0.000329105,0.0002670804,0.000487875,0.0006593114,0.0003409819,0.0004795998,0.0001198237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003011109,"about_ca_system_score_gemma":0.0004905328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004534304,"about_ca_topic_score_gemma":0.003017916,"domain_scores_codex":[0.9998453,0.0000376849,0.000009068733,0.00002678587,0.00005580931,0.00002545801],"domain_scores_gemma":[0.9996889,0.0001709223,0.00003517631,0.00003096817,0.00005934335,0.00001475673],"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":[0.00006447302,0.00004368291,0.0006849242,0.00005910326,0.00001458285,0.00008961511,0.0000750972,0.9605776,0.01486555,0.004556305,0.0001555933,0.01881346],"study_design_scores_gemma":[0.000002176092,0.000008622631,0.0001448285,0.000002324804,0.00000201741,0.00001030621,0.000004832265,0.9975532,0.001360604,0.0007841746,0.0001245333,0.00000238981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1670689,0.0006263165,0.8263624,0.0002092243,0.00006857084,0.00002710585,0.00004178512,0.0002408233,0.005354889],"genre_scores_gemma":[0.9858744,0.0001968283,0.01237515,0.00001244905,0.00001003368,0.00001619063,0.00002602584,0.00002377131,0.001465213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004534304,"threshold_uncertainty_score":0.009015799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007433290968362607,"score_gpt":0.1880155800511611,"score_spread":0.1805822890827985,"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."}}