{"id":"W2591659144","doi":"10.1177/1077546317695463","title":"Multi-frequency excitation of microbeams supported by Winkler and Pasternak foundations","year":2017,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Microbeam; Galerkin method; Nonlinear system; Excitation; Discretization; Position (finance); Viscoelasticity; Equations of motion; Physics; Multiple-scale analysis; Ordinary differential equation; Classical mechanics; Differential equation; Mathematical analysis; Mathematics; Mechanics; Optics; Quantum mechanics","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":[0.0001012875,0.00006283525,0.0001319562,0.00003416348,0.0001739978,0.0001151734,0.00007929872,0.00002422702,0.00006450785],"category_scores_gemma":[0.000007123955,0.00005406577,0.00004061994,0.00001612569,0.00007141039,0.000340213,0.00001042637,0.0000659932,6.960801e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004556769,"about_ca_system_score_gemma":0.0000258186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006027737,"about_ca_topic_score_gemma":0.000004364895,"domain_scores_codex":[0.9995264,0.00001420694,0.000278879,0.00006443461,0.00005662326,0.00005944466],"domain_scores_gemma":[0.9991221,0.00001791007,0.000572798,0.0001065403,0.000136273,0.00004437689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001438528,0.00007926475,0.03384934,0.000006313735,0.00004557482,1.505418e-7,0.0001384991,0.000001452868,0.9548044,0.004380749,0.0005854563,0.006094434],"study_design_scores_gemma":[0.02265857,0.001355559,0.5981483,0.0004063906,0.0006999109,0.00004837519,0.001831308,0.0151915,0.3000882,0.0392672,0.01929853,0.001006096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5034947,0.00007544486,0.4946637,0.001160505,0.00003984604,0.000157037,0.00005565811,0.000004051729,0.000349022],"genre_scores_gemma":[0.9923989,0.00001904358,0.007303278,0.00005671947,0.00005573834,0.000005963821,0.00001297523,0.000005319264,0.0001420396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6547161,"threshold_uncertainty_score":0.2204738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009281266726971445,"score_gpt":0.2882072107183187,"score_spread":0.2789259439913472,"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."}}