{"id":"W2153442514","doi":"10.1109/cca.2007.4389254","title":"A Generalized Prandtl-Ishlinskii Model for Characterizing Rate Dependent Hysteresis","year":2007,"lang":"en","type":"article","venue":"˜The œproceedings of the IEEE Conference on Control Applications/˜The œproceedings of the ... IEEE Conference on Control Applications","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Hysteresis; Prandtl number; Range (aeronautics); Function (biology); Operator (biology); Control theory (sociology); Actuator; Statistical physics; Computer science; Biological system; Physics; Materials science; Mechanics; Condensed matter physics; Chemistry; Artificial intelligence; Convection; Control (management)","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","sts"],"consensus_categories":[],"category_scores_codex":[0.002712812,0.001116164,0.001419278,0.0003102826,0.001382195,0.0004889079,0.005240455,0.0004984356,0.00001789253],"category_scores_gemma":[0.0001277165,0.0006823972,0.0009091062,0.001186573,0.0007170201,0.0004107357,0.0001369331,0.001202995,0.00003187036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003264583,"about_ca_system_score_gemma":0.0003070499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000435729,"about_ca_topic_score_gemma":0.00009592899,"domain_scores_codex":[0.9941938,0.00004048012,0.002041047,0.001183399,0.001177143,0.001364155],"domain_scores_gemma":[0.9925306,0.00105138,0.002019951,0.001237297,0.002840372,0.0003203938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001334165,0.0004690105,0.0002744769,0.0003192923,0.000840336,1.118573e-7,0.0005796704,0.002618597,0.7279192,0.2415064,0.002781478,0.02135726],"study_design_scores_gemma":[0.009196586,0.0003003091,0.001083172,0.0003938019,0.001520039,0.00002142748,0.000777158,0.8893845,0.05224998,0.03807207,0.00551201,0.001488974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2086875,0.000420274,0.730319,0.01787065,0.0009657574,0.0277833,0.001317139,0.000879387,0.011757],"genre_scores_gemma":[0.9847453,0.0001631882,0.0003031097,0.00185904,0.000649306,0.01111129,0.000007409382,0.0001716762,0.0009896697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8867659,"threshold_uncertainty_score":0.9999179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884068461843925,"score_gpt":0.2343278273833953,"score_spread":0.215487142764956,"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."}}