{"id":"W2941171092","doi":"10.1364/oe.27.013204","title":"Transparent capacitive micromachined ultrasonic transducers (CMUTs) for photoacoustic applications","year":2019,"lang":"en","type":"article","venue":"Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Materials science; Capacitive micromachined ultrasonic transducers; Transducer; Ultrasonic sensor; Capacitive sensing; Optics; Optoelectronics; Photoacoustic effect; Laser; Acoustics; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009806752,0.0002633066,0.0002834956,0.0000736595,0.00008797434,0.00004932211,0.0002698648,0.0000982882,0.0001038852],"category_scores_gemma":[0.00001018403,0.0002809088,0.0001395493,0.0001249571,0.00005537724,0.000113361,0.000005574695,0.0002127058,0.00004621132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104064,"about_ca_system_score_gemma":0.00003624233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009688207,"about_ca_topic_score_gemma":0.000002684008,"domain_scores_codex":[0.9987682,0.00001132057,0.0002715987,0.0003102292,0.0001525214,0.0004861375],"domain_scores_gemma":[0.9991844,0.0002592349,0.00003323476,0.0003423446,0.00005781295,0.0001230317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002341897,0.00005881026,0.00003162528,0.0004192603,0.0001163736,0.000001276861,0.001290154,0.1178255,0.8783404,0.0005611008,0.0003112309,0.001020813],"study_design_scores_gemma":[0.002831167,0.00009110144,0.000163626,0.000179884,0.0003412079,0.00003173836,0.001297217,0.7036842,0.278318,0.0005930068,0.0113952,0.001073671],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1210567,0.0003223651,0.8680866,0.00002764948,0.0004500776,0.001614024,0.0006887074,0.0003699908,0.007383943],"genre_scores_gemma":[0.9864928,0.00009898416,0.01205952,0.00005476273,0.0000940825,0.0006309266,0.0001073027,0.00008894137,0.000372698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8654361,"threshold_uncertainty_score":0.9999643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039344350725802,"score_gpt":0.2252610624187832,"score_spread":0.2148676189115251,"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."}}