{"id":"W2789215074","doi":"10.4172/2168-9873.1000299","title":"Vibration Control in Quarter-Car Model with Magnetorheological (MR) Dampers Using Bingham Model","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Mechanical Engineering","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Damper; Magnetorheological fluid; Vibration; Quarter (Canadian coin); Magnetorheological damper; Vibration control; Computer science; Control (management); Engineering; Structural engineering; Automotive engineering; Artificial intelligence; Physics; Acoustics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001783733,0.0004470648,0.0004600228,0.0002033676,0.0003093295,0.0005903215,0.0005871349,0.000654624,0.002316166],"category_scores_gemma":[0.0002102887,0.000203466,0.0005188996,0.0001362477,0.000292833,0.0003696332,0.0003730411,0.0004198088,0.0002702923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507341,"about_ca_system_score_gemma":0.0003487254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007727325,"about_ca_topic_score_gemma":0.00513608,"domain_scores_codex":[0.9998758,0.00003044346,0.000006246863,0.00003157038,0.00003945124,0.00001651524],"domain_scores_gemma":[0.9999114,0.00002580918,0.00001973344,0.000008052942,0.00002876497,0.000006134885],"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":[0.0002107499,0.00005886146,0.0008829019,0.0002190968,0.00007383936,0.0002158,0.0002585329,0.9205089,0.04438123,0.00844021,0.0005615544,0.0241883],"study_design_scores_gemma":[0.000006338588,0.00006149658,0.0001749394,0.000003992325,0.000008433186,0.00001378334,0.00001344246,0.9980512,0.0008391049,0.0002855991,0.0005375006,0.000004210383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1864447,0.000884367,0.7944214,0.0002525935,0.0001252332,0.00008200658,0.0001257463,0.0006119902,0.01705203],"genre_scores_gemma":[0.9777266,0.000327372,0.01306796,0.00002527989,0.00001720817,0.00007163433,0.00005906989,0.00002392019,0.008680957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007727325,"threshold_uncertainty_score":0.01536471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009692978377605976,"score_gpt":0.1937280038518644,"score_spread":0.1840350254742584,"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."}}