{"id":"W2905384920","doi":"10.1139/tcsme-2018-0131","title":"Development and simulation of magnetorheological damper for segment erector vibration control","year":2018,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Magnetorheological fluid; Damper; Control theory (sociology); Magnetorheological damper; Controller (irrigation); Vibration; Nonlinear system; Fuzzy logic; Engineering; Vibration control; Fuzzy control system; Computer science; Control engineering; Control (management); Physics; Acoustics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002319558,0.0004200988,0.0003636679,0.0002677517,0.0003138668,0.0003431644,0.0007127747,0.0006698336,0.003330965],"category_scores_gemma":[0.0003377807,0.000183079,0.0003759868,0.0001307995,0.0002154213,0.0003686703,0.0003040061,0.000344586,0.0003101959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373848,"about_ca_system_score_gemma":0.000434248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00545194,"about_ca_topic_score_gemma":0.002690984,"domain_scores_codex":[0.9999069,0.00001536421,0.00000595533,0.00001600435,0.00004216617,0.00001352166],"domain_scores_gemma":[0.9999039,0.00003060436,0.00001450124,0.00001127161,0.00003152106,0.000008164312],"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":[0.0001799074,0.0000678629,0.001170991,0.0002143189,0.00002777216,0.0002559808,0.000137573,0.9284186,0.03492582,0.004078503,0.0006892183,0.02983339],"study_design_scores_gemma":[0.00001200291,0.00004468805,0.0001967535,0.000004058323,0.000004214181,0.00001049909,0.000007880834,0.9962638,0.002452342,0.000144668,0.0008550414,0.000003971229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1573991,0.0003968264,0.822215,0.0002163737,0.0001470222,0.0002548326,0.0001905609,0.002352237,0.01682805],"genre_scores_gemma":[0.9369125,0.0002481682,0.05586389,0.0000207437,0.00001030833,0.0002027225,0.0001217202,0.00003708118,0.006582802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00545194,"threshold_uncertainty_score":0.01114321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200610085158811,"score_gpt":0.2026261322673263,"score_spread":0.1906200314157382,"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."}}