{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003357278,0.000630369,0.0005542614,0.000649032,0.0003076049,0.0007592671,0.0005697279,0.0010905,0.001201973],"category_scores_gemma":[0.0006722442,0.000342092,0.0006411069,0.0002101971,0.0007240894,0.0007425518,0.0004988936,0.000513886,0.0002855005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000453566,"about_ca_system_score_gemma":0.0005507305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002726635,"about_ca_topic_score_gemma":0.00168268,"domain_scores_codex":[0.9998666,0.00003333779,0.000008343125,0.00003254683,0.00004255523,0.00001664293],"domain_scores_gemma":[0.9998552,0.00005515092,0.00003918948,0.000009636933,0.0000325035,0.00000831871],"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":[0.00002630463,0.00005688366,0.0005224159,0.00007506817,0.00001774352,0.0001244025,0.00013194,0.943764,0.02508739,0.021899,0.0002763375,0.008018413],"study_design_scores_gemma":[0.000001467684,0.000007236839,0.00006942209,0.000002529505,0.000001482918,0.000007003176,0.000004757636,0.9988016,0.0004637203,0.0004165274,0.0002215329,0.000002743158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08593801,0.0006670731,0.9031359,0.0002350554,0.00003903671,0.0001121467,0.00009627666,0.0002380849,0.009538451],"genre_scores_gemma":[0.9434779,0.0009313995,0.03885336,0.00005588801,0.00003998755,0.000318355,0.0001202205,0.0000811932,0.01612163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002726635,"threshold_uncertainty_score":0.00542146,"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."}}