{"id":"W3134275143","doi":"10.1364/ol.415975","title":"Transparent capacitive micromachined ultrasound transducer lineararrays for combined realtime optical and ultrasonic imaging","year":2021,"lang":"en","type":"article","venue":"Optics Letters","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":22,"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; Canadian Cancer Society","keywords":"Capacitive micromachined ultrasonic transducers; Ultrasonic sensor; Transducer; Materials science; Ultrasound; Optics; Capacitive sensing; Acoustics; Optoelectronics; Computer science; Physics","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":[0.0001612605,0.0003233428,0.0003619479,0.00006585132,0.0001450806,0.0001277175,0.000125389,0.00007134197,0.00003611981],"category_scores_gemma":[0.00008642217,0.0003541586,0.000134197,0.0001367026,0.0001588096,0.0001495186,0.000007785161,0.0003273262,0.000005004415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009435655,"about_ca_system_score_gemma":0.00004265197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000643028,"about_ca_topic_score_gemma":0.000006084049,"domain_scores_codex":[0.9984612,0.00002668562,0.000340815,0.0003879716,0.0001684077,0.000614897],"domain_scores_gemma":[0.99893,0.0005510537,0.00002903277,0.0002380977,0.00006327093,0.0001885229],"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":[0.00002893184,0.0000445561,0.0001881766,0.0001759856,0.0001380124,0.00005597251,0.001098725,0.005197492,0.9911702,0.000363845,0.0005470899,0.0009910633],"study_design_scores_gemma":[0.006712567,0.00009724644,0.005011175,0.0003555817,0.0007345428,0.0008916087,0.001222916,0.3920323,0.5890635,0.0004559583,0.00155435,0.001868285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5655544,0.0005674305,0.4289576,0.002285262,0.0005045564,0.0003769363,0.0002207022,0.0002787762,0.001254331],"genre_scores_gemma":[0.960066,0.0002140606,0.03815828,0.001079408,0.0001430378,0.00004779766,0.0001551069,0.00009342612,0.00004290386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4021067,"threshold_uncertainty_score":0.999891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008939193091009484,"score_gpt":0.2153283826901747,"score_spread":0.2063891895991652,"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."}}