{"id":"W2884721995","doi":"10.1038/s41378-018-0022-5","title":"Fabrication and testing of polymer-based capacitive micromachined ultrasound transducers for medical imaging","year":2018,"lang":"en","type":"article","venue":"Microsystems & Nanoengineering","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Capacitive micromachined ultrasonic transducers; Fabrication; Materials science; Transducer; Capacitive sensing; Ultrasonic sensor; Optoelectronics; Piezoelectricity; Acoustics; Electrical engineering; Engineering","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":[0.0005675212,0.0004300189,0.0001914811,0.0003058938,0.0001594053,0.0002030369,0.000441606,0.0005077851,0.0006431012],"category_scores_gemma":[0.001390437,0.0002594589,0.0001775031,0.000243991,0.0002231111,0.000362545,0.0002788986,0.0002134392,0.0002436007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001695224,"about_ca_system_score_gemma":0.0002211668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002785388,"about_ca_topic_score_gemma":0.0004793477,"domain_scores_codex":[0.999532,0.00006122865,0.00004059642,0.00009826157,0.000220402,0.00004745044],"domain_scores_gemma":[0.9991779,0.0002332299,0.0002219713,0.0001119701,0.0001931994,0.0000616278],"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":[0.00001579901,0.00001360551,0.00009911924,0.00002930107,0.00000261604,0.00003249457,0.00001444224,0.0001845909,0.9980838,0.00003089352,0.0000199642,0.001473338],"study_design_scores_gemma":[0.000007644236,0.00034886,0.00121753,0.000003976859,0.000006718055,0.00005649775,0.00001331384,0.001775129,0.9958605,0.00001384335,0.0006896261,0.000006403593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9180244,0.001320237,0.07772424,0.0001054435,0.0002284906,0.0003740011,0.0002583256,0.000663317,0.001301632],"genre_scores_gemma":[0.90896,0.0005328043,0.08881497,0.00005939902,0.00003209056,0.0002294523,0.0001432056,0.0000427424,0.00118546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006431012,"threshold_uncertainty_score":0.003001392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006901024895113476,"score_gpt":0.2350767636761952,"score_spread":0.2281757387810817,"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."}}