{"id":"W2955190560","doi":"10.5539/mas.v13n7p49","title":"Vibration Analysis of Magneto-Electro-Thermo NanoBeam Resting on Nonlinear Elastic Foundation Using Sinc and Discrete Singular Convolution Differential Quadrature Method","year":2019,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nyström method; Nonlinear system; Quadrature (astronomy); Vibration; Boundary value problem; Magnetic potential; Mathematical analysis; Mechanics; Discretization; Parametric statistics; Numerical analysis; Physics; Magneto; Materials science; Voltage; Mathematics; Magnetic field; Acoustics; Optics","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":[0.0001403698,0.0001478492,0.0001800536,0.0001083892,0.0001024638,0.0001360131,0.0002253261,0.0002555818,0.0006330129],"category_scores_gemma":[0.0001222965,0.00008701895,0.000198123,0.0001188923,0.0002264005,0.0001721609,0.0001865981,0.0001288609,0.00008488912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001357206,"about_ca_system_score_gemma":0.0001381375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004874429,"about_ca_topic_score_gemma":0.0006941999,"domain_scores_codex":[0.9999523,0.000005973103,0.000001862949,0.000008251698,0.00002634361,0.000005233456],"domain_scores_gemma":[0.9999424,0.00002156392,0.00001121308,0.000007379876,0.00001236643,0.000005036363],"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":[0.0001618627,0.00005320275,0.002902657,0.0001568399,0.00003937538,0.0003085257,0.0001875124,0.2215141,0.7228505,0.02544342,0.0003626346,0.02601944],"study_design_scores_gemma":[0.000004305844,0.00004121346,0.001496752,0.000003320771,0.000002614579,0.00003980992,0.00001994202,0.9845988,0.01275099,0.000736877,0.0002993305,0.000006142243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6473129,0.0003670583,0.3473091,0.0001142732,0.00003293135,0.0000199906,0.00004007177,0.00008020077,0.004723426],"genre_scores_gemma":[0.9719508,0.0001124651,0.02579862,0.00001123815,0.000003920387,0.00001151785,0.00002827996,0.000009329973,0.002073705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006330129,"threshold_uncertainty_score":0.002117574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009373522898978404,"score_gpt":0.2623288208203071,"score_spread":0.2529552979213287,"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."}}