{"id":"W2147402227","doi":"10.1109/icsens.2008.4716487","title":"Modeling of MEMS high-order mode inter-digital waveform synthesizer for Flexural Plate Array sensors","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Waveform; Transducer; Microelectromechanical systems; Acoustics; Electronic engineering; Wideband; Electrical engineering; Materials science; Direct digital synthesizer; Computer science; Engineering; Optoelectronics; Voltage; Physics; Frequency synthesizer; Phase noise","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":[0.0002733381,0.0004351711,0.0004826183,0.0002296505,0.0002808189,0.0006846442,0.0009413321,0.0009183962,0.003052633],"category_scores_gemma":[0.0005134448,0.0003905447,0.0004463052,0.0001603625,0.0003148435,0.0008161324,0.0002656894,0.0004077641,0.0009322339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007218747,"about_ca_system_score_gemma":0.0006600684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003436662,"about_ca_topic_score_gemma":0.002639188,"domain_scores_codex":[0.9998181,0.00003038595,0.000006301363,0.00003668155,0.00009400826,0.00001451023],"domain_scores_gemma":[0.9998903,0.00003992055,0.00001855244,0.00001175785,0.00003266269,0.000006688894],"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":[0.00007308391,0.00003882579,0.0005316996,0.00009211012,0.00002512214,0.0002304096,0.0001054551,0.9174063,0.04387993,0.02495717,0.0006018709,0.01205805],"study_design_scores_gemma":[0.000002910849,0.00001148596,0.00005744042,0.000001632939,0.000002579341,0.00001522544,0.000004556563,0.9973368,0.001514953,0.0005106619,0.0005385053,0.000003241584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06160656,0.0004901583,0.9140651,0.0003494555,0.00008643965,0.00009511055,0.0001817235,0.0006335375,0.0224919],"genre_scores_gemma":[0.8988838,0.0006538329,0.07697866,0.00009783061,0.00003898922,0.0002733948,0.0001554372,0.000138047,0.02278005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003436662,"threshold_uncertainty_score":0.01021206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920810318331537,"score_gpt":0.2288915406288052,"score_spread":0.2096834374454898,"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."}}