{"id":"W2030556511","doi":"10.1115/imece2014-37646","title":"A Study on Calculation Method of Natural Frequency for Rubber Damped Torsional Vibration Absorbers","year":2014,"lang":"en","type":"article","venue":"","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Natural rubber; Vibration; Natural frequency; Materials science; Damper; Shear (geology); Structural engineering; Fractional calculus; Mechanics; Composite material; Mathematics; Engineering; Physics; Acoustics; Mathematical analysis","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":[0.0002261939,0.00008820179,0.0001283204,0.00007013977,0.00003582552,0.000014186,0.00004949111,0.00004566121,0.00004221793],"category_scores_gemma":[0.00005169797,0.00007485364,0.00005517254,0.00007505764,0.000004328477,0.0001546493,0.000004150784,0.00005338018,0.000007780159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002204202,"about_ca_system_score_gemma":0.000008145445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000141836,"about_ca_topic_score_gemma":0.00003065147,"domain_scores_codex":[0.9993947,0.00004232987,0.0002118876,0.0001146468,0.0001435197,0.0000929731],"domain_scores_gemma":[0.999572,0.0001877135,0.00003183451,0.0001195068,0.00006073632,0.0000281878],"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":[0.0002367397,0.0004547394,0.008444577,0.0001187609,0.0003760811,7.721242e-7,0.002342942,0.221419,0.6437042,0.06763142,0.003650391,0.05162039],"study_design_scores_gemma":[0.001663872,0.0002902512,0.02816997,0.000008568732,0.00003241442,5.78099e-7,0.0001154336,0.9359541,0.03257063,0.0007887796,0.000244056,0.0001613253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2951033,0.000006669716,0.701709,0.00009348267,0.0002639907,0.0004824016,0.000004674136,0.0001135035,0.002222972],"genre_scores_gemma":[0.9803276,1.589774e-7,0.01927753,0.00009217813,0.0001196048,0.00004858478,0.00002324042,0.00001471747,0.00009640176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7145351,"threshold_uncertainty_score":0.3052443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429279342240068,"score_gpt":0.2825113238157405,"score_spread":0.2682185303933398,"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."}}