{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001441084,0.000110842,0.000144657,0.0001641773,0.00004399865,0.00002232446,0.00005105786,0.00009946768,0.000006759763],"category_scores_gemma":[0.0002473915,0.000107264,0.00006474058,0.0002321936,0.000009662575,0.00006214768,0.00001036726,0.0001356924,0.00008708404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006717535,"about_ca_system_score_gemma":0.00000358574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004028463,"about_ca_topic_score_gemma":0.0002533637,"domain_scores_codex":[0.9992959,0.00001960356,0.0002078385,0.0001554921,0.00007490395,0.000246229],"domain_scores_gemma":[0.9996476,0.0001758578,0.00001894544,0.00009640272,0.00001759354,0.00004357631],"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":[0.00002732972,0.000004533943,0.0002230862,0.0000303123,0.000007569447,0.000003820783,0.0002788611,0.9673473,0.02429693,0.00001291778,0.0001009305,0.007666443],"study_design_scores_gemma":[0.0005190472,0.0000233439,0.000381661,0.00001625578,0.000003227781,0.000006496723,0.000397811,0.994422,0.002965852,0.00005005633,0.001090175,0.0001240382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882842,0.00001246057,0.009438757,0.00002754598,0.0006907093,0.000280176,0.000006120871,0.0008179719,0.0004420118],"genre_scores_gemma":[0.9989361,0.000003630331,0.0003609265,0.00001284936,0.00006776449,0.0001209303,0.000004143726,0.00002851891,0.0004650924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02707477,"threshold_uncertainty_score":0.43741,"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."}}