{"id":"W3202567610","doi":"10.3390/act10100257","title":"A Comparative Study of Four Parametric Hysteresis Models for Magnetorheological Dampers","year":2021,"lang":"en","type":"article","venue":"Actuators","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Donghua University; Natural Science Foundation of Shanghai","keywords":"Hysteresis; Damper; Parametric statistics; Viscoelasticity; Magnetorheological damper; Creep; Magnetorheological fluid; Nonlinear system; Parametric model; Structural engineering; System identification; Control theory (sociology); Engineering; Materials science; Computer science; Mathematics; Physics; Data modeling; Control (management); Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.00008553323,0.0001290834,0.0003619959,0.00007235536,0.00004217934,0.00001578348,0.0001101127,0.00008224742,0.0001196575],"category_scores_gemma":[0.00009738041,0.00009895139,0.00008969841,0.0003164434,0.00002791919,0.00009582573,0.00002903468,0.00007732515,0.000006554977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001963065,"about_ca_system_score_gemma":0.00001576514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004637312,"about_ca_topic_score_gemma":0.00001350778,"domain_scores_codex":[0.9991956,0.0000552508,0.0002651036,0.0001788131,0.0001305818,0.0001746081],"domain_scores_gemma":[0.9992561,0.0003928792,0.00002623114,0.0001659796,0.00009328195,0.00006551975],"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":[0.0005197365,0.003183575,0.01272796,0.0003623099,0.002341859,0.000112571,0.01178073,0.8676488,0.01614044,0.04731854,0.0100348,0.02782862],"study_design_scores_gemma":[0.003025179,0.001303118,0.008017767,0.00001404529,0.000136055,0.000006326764,0.004113611,0.9732391,0.004334674,0.004938161,0.0004539645,0.0004180347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976431,0.0002250111,0.1002943,0.00003070176,0.0001532306,0.0003407383,0.0000125964,0.00009720252,0.00120306],"genre_scores_gemma":[0.9978104,0.00001480332,0.001887671,0.00003710858,0.00003345676,0.00007722204,0.000007063151,0.000009522226,0.000122725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1055902,"threshold_uncertainty_score":0.403512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05826107132417516,"score_gpt":0.2622397849853624,"score_spread":0.2039787136611872,"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."}}