{"id":"W1991416012","doi":"10.1109/tuffc.2011.1937","title":"A 32 x 32 element row-column addressed capacitive micromachined ultrasonic transducer","year":2011,"lang":"en","type":"letter","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Capacitive micromachined ultrasonic transducers; Transducer; Ultrasonic sensor; Materials science; Capacitive sensing; Acoustics; Center frequency; Bandwidth (computing); Wafer; Fabrication; Surface micromachining; Optics; Optoelectronics; Electronic engineering; Engineering; Electrical engineering; Band-pass filter; 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":[0.0002718675,0.0002966594,0.0003803275,0.0002515902,0.0002395157,0.0003548847,0.0005583328,0.0008809369,0.003077932],"category_scores_gemma":[0.001019436,0.0002128932,0.0001116209,0.0003184276,0.0002963366,0.0004993051,0.0002713695,0.0004576436,0.001132521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004673853,"about_ca_system_score_gemma":0.0003519924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006033786,"about_ca_topic_score_gemma":0.001774841,"domain_scores_codex":[0.9993432,0.00008287832,0.00003410251,0.0001290321,0.0003568305,0.00005403992],"domain_scores_gemma":[0.9994999,0.0002169176,0.00004119368,0.00005548769,0.0001401125,0.00004628289],"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":[0.00009571225,0.00002144323,0.0003910495,0.00006853586,0.000005153998,0.0004473718,0.00007781417,0.0002670584,0.9650381,0.0005885013,0.001619403,0.03137986],"study_design_scores_gemma":[0.00009210018,0.001289971,0.007587458,0.0000261548,0.00004697651,0.01291511,0.0001752347,0.03022961,0.8885261,0.0005116802,0.05848378,0.0001157171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4917316,0.004709845,0.4656999,0.006569203,0.002318721,0.0008456646,0.001164389,0.002585469,0.02437522],"genre_scores_gemma":[0.5992665,0.0008853438,0.386335,0.001130122,0.0002330639,0.0002852713,0.0003546245,0.00006176815,0.01144821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003077932,"threshold_uncertainty_score":0.0102967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393996525631616,"score_gpt":0.2261316419993725,"score_spread":0.2121916767430564,"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."}}