{"id":"W2973150830","doi":"10.23919/acc.2019.8814593","title":"Adaptive Estimation of Threshold Parameters for a Prandtl-Ishlinskii Hysteresis Operator","year":2019,"lang":"en","type":"article","venue":"","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Operator (biology); Control theory (sociology); Nonlinear system; Mathematics; Superposition principle; Inverse; Computer science; Applied mathematics; Algorithm; Mathematical analysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007062407,0.000607622,0.0004485681,0.0003069733,0.0002774894,0.0005699549,0.0007317991,0.0006056158,0.0004780582],"category_scores_gemma":[0.003047066,0.0002735526,0.0002500194,0.0001864041,0.0008017328,0.0008836911,0.0006465982,0.001000191,0.0001438352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003725993,"about_ca_system_score_gemma":0.0008231045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558061,"about_ca_topic_score_gemma":0.001965399,"domain_scores_codex":[0.9997506,0.00004719749,0.00001452257,0.00007903972,0.00008251139,0.00002617004],"domain_scores_gemma":[0.9991197,0.0005213665,0.00015342,0.00005485379,0.0001183163,0.0000324564],"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":[0.0003516694,0.0001375288,0.003974515,0.0002444567,0.00006092161,0.0001878061,0.0005128808,0.5873847,0.1204605,0.02351913,0.0009230987,0.2622428],"study_design_scores_gemma":[0.000004676881,0.00002992383,0.0002669917,0.00000506769,0.000003185787,0.00003069185,0.00001172898,0.9923993,0.00577788,0.001283995,0.000178844,0.000007696268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.022177,0.00005702068,0.9772069,0.00004506429,0.000007168537,0.00002228853,0.000006942235,0.0001384394,0.0003391183],"genre_scores_gemma":[0.767489,0.0001307789,0.2311392,0.00003944851,0.00001665154,0.00009592596,0.00003625889,0.00004575095,0.001007077],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001558061,"threshold_uncertainty_score":0.003735006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00770623947873681,"score_gpt":0.1966222757997299,"score_spread":0.1889160363209931,"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."}}