{"id":"W4388680151","doi":"10.1016/j.ijengsci.2023.103973","title":"Dynamic stability of the sandwich nano-beam system","year":2023,"lang":"en","type":"article","venue":"International Journal of Engineering Science","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Lakehead University","keywords":"Lyapunov exponent; Excitation; Inertia; Classical mechanics; Physics; Moment of inertia; Stability (learning theory); Magnetic field; White noise; Perturbation (astronomy); Moment (physics); Scaling; Beam (structure); Lorentz force; Magnetic moment; Lyapunov function; Mechanics; Nonlinear system; Mathematics; Computer science; Condensed matter physics; Optics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009295214,0.00007517731,0.0001275708,0.0001846733,0.0000556561,0.00006023289,0.001329128,0.00002157678,0.00001796566],"category_scores_gemma":[0.0004926087,0.00004704462,0.00007857763,0.0005014252,0.000250492,0.0002216395,0.00017007,0.00009770593,0.000006912332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369785,"about_ca_system_score_gemma":0.0001284151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008640674,"about_ca_topic_score_gemma":0.000001753237,"domain_scores_codex":[0.9984472,0.00001389972,0.000357317,0.0001153031,0.0008914385,0.0001748714],"domain_scores_gemma":[0.9989982,0.0001098997,0.0002159209,0.0001373101,0.0004846969,0.00005395428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008126145,0.000008421021,0.001296404,0.00001923302,0.000005571385,0.000004458791,0.0001366688,0.02132062,0.9763998,0.0006923401,0.00002655255,0.00008180671],"study_design_scores_gemma":[0.0001580427,0.00003180882,0.04552873,0.0002029044,0.000007520499,0.0001338461,0.0001116168,0.00814375,0.9453052,0.0001403672,0.0001634137,0.000072854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932003,0.00002925338,0.00148601,0.0001594912,0.00499666,0.00003882001,0.00001777007,0.00003572827,0.00003597619],"genre_scores_gemma":[0.9991177,0.000003713885,0.0007888612,0.000009821082,0.00006306803,6.604026e-7,1.929425e-7,0.0000055653,0.00001043055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04423232,"threshold_uncertainty_score":0.2469873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0062613199367856,"score_gpt":0.2334228491807407,"score_spread":0.2271615292439551,"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."}}