{"id":"W2800390634","doi":"10.1109/jmems.2018.2828423","title":"Development of a Novel CMUT-Based Concentric Dual-Element Ultrasonic Transducer: Design, Fabrication, and Characterization","year":2018,"lang":"en","type":"article","venue":"Journal of Microelectromechanical Systems","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; CMC Microsystems","keywords":"Capacitive micromachined ultrasonic transducers; Transducer; Ultrasonic sensor; Materials science; Acoustics; Capacitive sensing; Piezoelectricity; PMUT; Bandwidth (computing); Electrical engineering; Engineering; Telecommunications; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005124027,0.0004672561,0.0004487138,0.000375773,0.0002081461,0.0004567831,0.001079503,0.001023713,0.0004556027],"category_scores_gemma":[0.0008879966,0.0004228034,0.0002042756,0.0004206522,0.0004084249,0.001012423,0.0005383742,0.0004086825,0.0003491848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003972693,"about_ca_system_score_gemma":0.0007111738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004581893,"about_ca_topic_score_gemma":0.0008576428,"domain_scores_codex":[0.9995054,0.0000385509,0.00003407911,0.0001369734,0.0002460231,0.00003892558],"domain_scores_gemma":[0.9994521,0.0001040053,0.0001619128,0.00004277668,0.0001795029,0.00005971643],"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":[0.00002524197,0.00001059267,0.0002426435,0.00008674573,0.000003560694,0.00008367123,0.00004987753,0.0004573202,0.9906383,0.0004765549,0.000104938,0.007820586],"study_design_scores_gemma":[0.000009973414,0.0002265812,0.0009917995,0.00001041174,0.00001568687,0.0007248787,0.00003510411,0.01589299,0.9746811,0.00007499368,0.007310802,0.00002551417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2916163,0.002833761,0.7001864,0.0004490559,0.0002880205,0.0003054458,0.0001869321,0.001270672,0.002863377],"genre_scores_gemma":[0.3930602,0.000910447,0.6024843,0.0001607302,0.00006307541,0.0002155142,0.0001333391,0.0000603772,0.002911925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001079503,"threshold_uncertainty_score":0.002882361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553014576918633,"score_gpt":0.2122389864617743,"score_spread":0.196708840692588,"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."}}