{"id":"W1966128078","doi":"10.1063/1.2927191","title":"Prediction of the resonant frequency of piezoelectric tube scanners through three-dimensional finite element modeling of a tube assembly","year":2008,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta; University of Calgary","funders":"","keywords":"Scanner; Finite element method; Tube (container); Acoustics; Bending; Piezoelectricity; Range (aeronautics); Materials science; Resonance (particle physics); Frequency response; Optics; Physics; Engineering","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":[0.000347559,0.0003393662,0.0003054724,0.0003277767,0.0002397209,0.0003341253,0.0004186087,0.001023061,0.000670531],"category_scores_gemma":[0.00109639,0.0003563948,0.0003980605,0.0001300891,0.0004837921,0.0003873616,0.0002260023,0.0003276108,0.0003081374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003884195,"about_ca_system_score_gemma":0.0005327193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001679544,"about_ca_topic_score_gemma":0.001316261,"domain_scores_codex":[0.999887,0.00002545436,0.000004878479,0.00002119327,0.00005040142,0.00001098732],"domain_scores_gemma":[0.9996402,0.0002265718,0.00004218066,0.00003360134,0.00004538467,0.00001199734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003561566,0.00002813457,0.001143328,0.00005243873,0.00000941736,0.0001175184,0.0001335226,0.925008,0.06150978,0.003529507,0.000153854,0.008278849],"study_design_scores_gemma":[0.000001495319,0.000006526031,0.0001425432,0.000002045569,0.0000016811,0.00001488892,0.00000512298,0.9965613,0.002941139,0.0001965684,0.0001232752,0.000003276176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.199392,0.000138925,0.7967851,0.0001447549,0.00001626036,0.00003627676,0.00005521358,0.0005678765,0.002863744],"genre_scores_gemma":[0.8704365,0.0001667642,0.1273557,0.00002346106,0.000005227027,0.00009281578,0.00004910752,0.00008561752,0.00178485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001679544,"threshold_uncertainty_score":0.003339529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898857415348281,"score_gpt":0.2700492565910366,"score_spread":0.2410606824375538,"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."}}