{"id":"W4311402198","doi":"10.1177/1045389x221142087","title":"Evaluation of flow-induced vibration suppression performances of magneto-rheological damping pipe clamp using PID algorithm","year":2022,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Beijing Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"PID controller; Control theory (sociology); Vibration; Magnetorheological fluid; Engineering; Displacement (psychology); Vibration control; Clamp; Step response; Acceleration; Flow (mathematics); Structural engineering; Acoustics; Mechanical engineering; Control engineering; Mechanics; Computer science; Physics; Temperature control","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001429815,0.000116053,0.0003808162,0.000122131,0.00009756575,0.00003733881,0.0001098339,0.00008313361,0.0004440927],"category_scores_gemma":[0.00004176567,0.00007837141,0.00007702301,0.00007792229,0.00003201052,0.0001635029,0.00004427235,0.0001353789,1.063554e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005267657,"about_ca_system_score_gemma":0.00004020626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002521804,"about_ca_topic_score_gemma":4.779077e-7,"domain_scores_codex":[0.9979356,0.000359126,0.0009160971,0.0000857846,0.0005970215,0.0001063929],"domain_scores_gemma":[0.9992206,0.00003553037,0.0003550414,0.000070619,0.0002733675,0.00004486005],"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":[0.0001162647,0.00001767433,0.0001834682,0.000108522,0.00008481916,0.000001979161,0.0002578415,0.3361513,0.6295652,0.0002565897,0.00004505009,0.03321129],"study_design_scores_gemma":[0.0004199965,0.0005519709,0.00212034,0.0000651745,0.00009283095,0.0001055369,0.0003567644,0.8758437,0.1196946,0.0004942591,0.0001518981,0.0001028935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548384,0.00144656,0.0400692,0.000008311182,0.003383899,0.0001844801,0.00002123913,0.000009735346,0.00003817377],"genre_scores_gemma":[0.997964,0.000133039,0.001496003,0.000005071848,0.000380842,0.000003658017,0.000007512394,0.000007383502,0.00000252489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5396924,"threshold_uncertainty_score":0.4862504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03294367979811746,"score_gpt":0.2635383974278513,"score_spread":0.2305947176297338,"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."}}