{"id":"W4390466463","doi":"10.3390/s24010251","title":"Interacting Multiple Model Estimators for Fault Detection in a Magnetorheological Damper","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Damper; Estimator; Magnetorheological fluid; Fault detection and isolation; Magnetorheological damper; Computer science; Fault (geology); Engineering; Structural engineering; Actuator; Artificial intelligence; Mathematics; Statistics; Geology; Seismology","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":[0.0008558856,0.0007225061,0.0009270033,0.0008221854,0.0002935441,0.0006029239,0.000755184,0.001042618,0.0008347327],"category_scores_gemma":[0.003234901,0.0002849355,0.0007793494,0.0003598534,0.0002814128,0.001067912,0.0006080649,0.001082554,0.0003099502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003765911,"about_ca_system_score_gemma":0.000471543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844513,"about_ca_topic_score_gemma":0.001920079,"domain_scores_codex":[0.9995657,0.00008636784,0.00002693565,0.00009405338,0.0001852082,0.00004177552],"domain_scores_gemma":[0.9990643,0.0004604855,0.0001767995,0.00009777801,0.0001774871,0.00002334274],"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":[0.0002919698,0.0001770064,0.003927406,0.0002854172,0.0001891999,0.0002129273,0.0002009128,0.603102,0.03663537,0.01118556,0.001069109,0.3427231],"study_design_scores_gemma":[0.000008472569,0.00006405242,0.0006319523,0.00000871779,0.00001624831,0.00005347276,0.0000117799,0.9928671,0.00422042,0.001198496,0.0009033611,0.00001590335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009123703,0.000260455,0.989787,0.00004091118,0.00003621586,0.00001126811,0.00001158787,0.0003106601,0.000418186],"genre_scores_gemma":[0.7394148,0.0004592718,0.2573745,0.00009149258,0.0000748182,0.00006706699,0.0001300343,0.00007186939,0.002316084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001844513,"threshold_uncertainty_score":0.004526436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862318141920774,"score_gpt":0.2512772409380035,"score_spread":0.2326540595187958,"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."}}