{"id":"W1999552760","doi":"10.1088/0964-1726/23/3/035016","title":"Dynamic analysis of electro- and magneto-rheological fluid dampers using duct flow models","year":2014,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Damper; Magnetorheological fluid; Smart material; Rheology; Mechanics; Vibration; Nonlinear system; Control theory (sociology); Fluid dynamics; Structural engineering; Engineering; Materials science; Computer science; Physics; Acoustics","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":[0.0001746913,0.0001463373,0.0004573929,0.0001006291,0.00005953884,0.0000481261,0.00005849698,0.0001222825,0.0002174164],"category_scores_gemma":[0.00002243281,0.0001014375,0.0000520524,0.0001113751,0.00009737803,0.00007670568,0.00003020693,0.0000460624,2.678707e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006065958,"about_ca_system_score_gemma":0.000003825808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002406619,"about_ca_topic_score_gemma":0.00001073411,"domain_scores_codex":[0.9992075,0.00007976601,0.0002836261,0.000182032,0.00007525911,0.0001718033],"domain_scores_gemma":[0.9997355,0.00003901976,0.00002922821,0.0001141811,0.00002273155,0.00005932831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004028566,0.000003886727,0.0008407286,0.00004606462,0.0003071604,0.00000100193,0.00005674704,0.06659364,0.9221602,0.008492336,0.00002405161,0.001433877],"study_design_scores_gemma":[0.0002531887,0.00008124453,0.03879921,0.000003815228,0.0002658519,0.000006173441,0.000007984663,0.9431114,0.009224035,0.008040752,0.00004896142,0.0001574391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735377,0.0005711217,0.02533014,0.00001887902,0.0002589799,0.00006855649,0.00003849434,0.00005412598,0.0001219545],"genre_scores_gemma":[0.9962946,0.0002434283,0.003318916,0.00004222478,0.00005189307,0.000002204249,0.00002750079,0.000008742561,0.00001045791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9129362,"threshold_uncertainty_score":0.4136501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007273501155188131,"score_gpt":0.2031002084993382,"score_spread":0.1958267073441501,"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."}}