{"id":"W2072366701","doi":"10.1109/ultsym.2014.0397","title":"A CMUT-based finger-mounted 3D ultrasound probe","year":2014,"lang":"en","type":"article","venue":"","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capacitive micromachined ultrasonic transducers; Capacitive sensing; Transducer; Ultrasonic sensor; Volume (thermodynamics); Materials science; Acoustics; Beamforming; Computer science; Physics; Telecommunications","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":[0.0001675195,0.0003139401,0.0003192846,0.0002563481,0.0002127609,0.0004660138,0.0008808727,0.000812439,0.003081266],"category_scores_gemma":[0.0006160793,0.0003096953,0.0002679313,0.0003885,0.0003111752,0.0006145422,0.0005810689,0.0002890324,0.0006312124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003562081,"about_ca_system_score_gemma":0.000514529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008625564,"about_ca_topic_score_gemma":0.001231839,"domain_scores_codex":[0.9997438,0.00003659364,0.00001186165,0.00007527455,0.0001099196,0.00002255778],"domain_scores_gemma":[0.9998112,0.00005926289,0.00003372447,0.00004123001,0.0000364949,0.0000181072],"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":[0.0002190935,0.00003238527,0.001181697,0.0002608,0.00002824659,0.0008924307,0.0001174628,0.01989269,0.8913255,0.003645306,0.001468489,0.08093591],"study_design_scores_gemma":[0.00006137363,0.001046964,0.008135952,0.0000604461,0.00008105276,0.006306974,0.0001024142,0.2037168,0.7476637,0.001002743,0.03160913,0.0002124029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.146937,0.0009064995,0.8399305,0.0004221593,0.0002213723,0.0001764613,0.0003600888,0.002995778,0.008050246],"genre_scores_gemma":[0.5669027,0.0002953136,0.4265397,0.0002352864,0.00003368593,0.0001149601,0.0001401938,0.00005716453,0.005681131],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003081266,"threshold_uncertainty_score":0.01030785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007607857548879954,"score_gpt":0.2502599696815968,"score_spread":0.2426521121327168,"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."}}