{"id":"W2159292473","doi":"10.1109/tuffc.2014.006681","title":"Feasibility of modulation-encoded TOBE CMUTS for real-time 3-D imaging","year":2015,"lang":"en","type":"letter","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Capacitive micromachined ultrasonic transducers; Modulation (music); Acoustics; Frequency modulation; Capacitive sensing; Transducer; Multiplexing; Ultrasonic sensor; Amplitude modulation; Phase modulation; Frequency domain; Delta modulation; SIGNAL (programming language); Electronic engineering; Computer science; Physics; Optics; Pulse-amplitude modulation; Bandwidth (computing); Engineering; Telecommunications; Detector; 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":[0.000382262,0.000275563,0.0001349065,0.0001380113,0.0001856666,0.0005215799,0.0004203882,0.001494084,0.0007988962],"category_scores_gemma":[0.001617726,0.000170555,0.00008158715,0.0001199495,0.0004304957,0.0006669066,0.000344309,0.0006708718,0.0004891349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004877831,"about_ca_system_score_gemma":0.0001836007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001872762,"about_ca_topic_score_gemma":0.0005948486,"domain_scores_codex":[0.9997273,0.00008862228,0.00001131407,0.00003074193,0.000113886,0.00002801707],"domain_scores_gemma":[0.9995611,0.0002462316,0.0000461512,0.00004996039,0.000074215,0.00002226707],"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":[0.0002324547,0.00005192971,0.0007857761,0.0001036208,0.000006320743,0.001538393,0.0001961015,0.001936115,0.9181692,0.02149237,0.00387205,0.0516155],"study_design_scores_gemma":[0.00007926085,0.0004447766,0.0009617643,0.00004531212,0.00001422463,0.004856041,0.0001636252,0.08919311,0.820323,0.007665079,0.0761883,0.00006560105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4541201,0.006582247,0.465099,0.03553176,0.002187853,0.0003241648,0.0002158996,0.001121745,0.03481731],"genre_scores_gemma":[0.8625985,0.001009204,0.130112,0.001775879,0.0002965062,0.0001463769,0.00004941459,0.00002795553,0.003984238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001494084,"threshold_uncertainty_score":0.003539205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958208379997706,"score_gpt":0.2652948157797915,"score_spread":0.2457127319798145,"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."}}