{"id":"W4396704283","doi":"10.1177/10775463241248963","title":"Development of a Prandtl-Ishlinskii hysteresis model for a large capacity magnetorheological fluid damper","year":2024,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetorheological fluid; Damper; Nonlinear system; Hysteresis; Control theory (sociology); Displacement (psychology); Magnetorheological damper; Stiffness; Prandtl number; Particle displacement; Engineering; Amplitude; Structural engineering; Computer science; Mechanics; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003463122,0.0005115102,0.0004850969,0.0003825748,0.0002514904,0.0004208234,0.001213369,0.0008701377,0.0008714242],"category_scores_gemma":[0.000608569,0.0002919081,0.0005651372,0.0001781282,0.0004118393,0.0006825055,0.0004150803,0.0006627183,0.0002686173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003930982,"about_ca_system_score_gemma":0.0007988722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004141053,"about_ca_topic_score_gemma":0.003334623,"domain_scores_codex":[0.9998764,0.00002258084,0.000008742371,0.00003359831,0.00004426071,0.00001455385],"domain_scores_gemma":[0.999822,0.00006727412,0.00003216775,0.00001997191,0.00004875164,0.000009857906],"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":[0.00003042911,0.00003397825,0.00063459,0.0000695649,0.00001267103,0.00006703453,0.00007174513,0.9692733,0.01597688,0.002673398,0.0002288811,0.01092762],"study_design_scores_gemma":[0.000001678141,0.000009741902,0.00006470901,0.00000180672,0.000001724688,0.000005726133,0.0000028691,0.9987351,0.0007584751,0.000196748,0.0002190205,0.000002530591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06845145,0.0003760323,0.9266303,0.0001389308,0.00002499673,0.00009169637,0.0001236903,0.0003813351,0.003781587],"genre_scores_gemma":[0.9218607,0.0003609027,0.07245069,0.00005432684,0.00001773769,0.0003586086,0.0002108902,0.00007496689,0.004611204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004141053,"threshold_uncertainty_score":0.008233905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964908062852824,"score_gpt":0.2293073847867365,"score_spread":0.2096583041582082,"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."}}