{"id":"W4388505034","doi":"10.1109/tuffc.2023.3331356","title":"Transparent Dual-Frequency CMUT Arrays for Photoacoustic Imaging","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institutes of Health; Canadian Institutes of Health Research; Mitacs; University of Alberta; Alberta Innovates; Alberta Innovates - Health Solutions; Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Capacitive micromachined ultrasonic transducers; Materials science; Optoelectronics; Transducer; Optics; Ultrasonic sensor; Capacitive sensing; Center frequency; Opacity; Bandwidth (computing); Image resolution; Acoustics; Piezoelectricity; Band-pass filter; Computer science","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":[0.0001798187,0.0004013398,0.0002374532,0.0003836257,0.0001926548,0.0004005131,0.0005117123,0.0006188974,0.0009748079],"category_scores_gemma":[0.0003995575,0.0003111383,0.000186148,0.0003557213,0.0002500849,0.0005889781,0.0005123675,0.0004343675,0.0003628838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002931863,"about_ca_system_score_gemma":0.0002123321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003171769,"about_ca_topic_score_gemma":0.001004002,"domain_scores_codex":[0.9996777,0.00004350847,0.00001664849,0.00009213379,0.0001309717,0.00003903445],"domain_scores_gemma":[0.9997707,0.00007122559,0.00006576205,0.0000239702,0.00004297213,0.00002531386],"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":[0.00003002892,0.00000586,0.00008111807,0.00003426658,0.00000280187,0.0000373112,0.00002255758,0.0001868703,0.9928318,0.0002346564,0.00005822779,0.006474369],"study_design_scores_gemma":[0.000007889325,0.0001145048,0.0006779728,0.000007166466,0.00001251398,0.0003123107,0.00003176168,0.008961207,0.9865342,0.0001414254,0.003181195,0.00001787632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5273429,0.005217735,0.4604349,0.0003324421,0.0002548281,0.0001221379,0.0002510153,0.001079355,0.004964672],"genre_scores_gemma":[0.786055,0.001083254,0.2088655,0.0001777014,0.00007966293,0.0001103515,0.000111534,0.00005090275,0.003466003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009748079,"threshold_uncertainty_score":0.00326103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140177121984242,"score_gpt":0.2267739146234574,"score_spread":0.2127562024250332,"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."}}