{"id":"W2033787275","doi":"10.1109/isie.2006.295998","title":"Nonlinear versus Linear Deflection Analysis of Microcantilever","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Nonlinear system; Microelectromechanical systems; Deflection (physics); Finite element method; Scaling; Linear system; Actuator; Mathematical analysis; Mathematics; Control theory (sociology); Computer science; Applied mathematics; Physics; Structural engineering; Materials science; Engineering; Geometry; Classical mechanics; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002266977,0.0002552358,0.0001847955,0.0001700972,0.0001793292,0.0002366817,0.0003225426,0.0003362266,0.002056544],"category_scores_gemma":[0.0006490855,0.000100694,0.000189188,0.00009808387,0.0004896995,0.0003435688,0.0004159703,0.0003183035,0.0002870566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003177807,"about_ca_system_score_gemma":0.000154671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007257907,"about_ca_topic_score_gemma":0.0006329631,"domain_scores_codex":[0.9997461,0.00002498133,0.000005369784,0.00005531715,0.0001485336,0.00001965793],"domain_scores_gemma":[0.9997228,0.0001522799,0.00002698665,0.00002947327,0.00005895624,0.000009512125],"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":[0.0001952047,0.0000618593,0.001601697,0.0003936568,0.00002487286,0.0003855529,0.000476764,0.1594181,0.7517291,0.02495506,0.0007723448,0.05998588],"study_design_scores_gemma":[0.00001620487,0.0001769492,0.005566129,0.00002584394,0.00001060763,0.0002809627,0.0001223449,0.871677,0.1108981,0.007338691,0.003853486,0.00003360992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3776374,0.002392617,0.5826222,0.0007605231,0.0001698065,0.0001098399,0.0001973444,0.000417584,0.03569265],"genre_scores_gemma":[0.9602642,0.0007807416,0.02557428,0.0001222371,0.00003166847,0.00005024133,0.00005356047,0.00003936168,0.01308364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002056544,"threshold_uncertainty_score":0.006879807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006457816356085,"score_gpt":0.2400438644414032,"score_spread":0.2299792862778424,"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."}}