{"id":"W4231627503","doi":"10.1109/ultsym.2017.8091728","title":"Multi-frequency CMUT imaging arrays for multi-scale imaging and imaging-therapy applications","year":2017,"lang":"en","type":"article","venue":"2017 IEEE International Ultrasonics Symposium (IUS)","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Capacitive micromachined ultrasonic transducers; Materials science; Amplifier; Transducer; High frequency ultrasound; Interfacing; Grating; Acoustics; Optoelectronics; Computer science; Ultrasound; Computer hardware","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":[0.0002712265,0.0004587495,0.0003266475,0.0001920804,0.0006706093,0.0006948126,0.001238536,0.00009078867,0.00002492059],"category_scores_gemma":[0.00006114957,0.0004962247,0.0001952149,0.00005201333,0.0002484132,0.00115365,0.00006440379,0.0003163844,0.00005076827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003347574,"about_ca_system_score_gemma":0.00007037966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001369742,"about_ca_topic_score_gemma":0.00009567649,"domain_scores_codex":[0.9979662,0.000009969231,0.0005140419,0.0005861737,0.0003374984,0.0005861081],"domain_scores_gemma":[0.998135,0.0001412169,0.0002813948,0.0008975804,0.0003459262,0.0001989254],"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":[0.00003684276,0.0001514763,0.03882551,0.00008403045,0.0002142647,0.00001155825,0.0005477334,0.002181756,0.9440489,0.0005118427,0.001551954,0.01183407],"study_design_scores_gemma":[0.005593134,0.00002233725,0.006576617,0.0001775962,0.00008949183,0.0001669953,0.000138053,0.8775269,0.05656059,0.001372069,0.05057913,0.001197017],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02046893,0.002974962,0.9623457,0.001574988,0.005734243,0.001727473,0.0009336246,0.0006687292,0.00357136],"genre_scores_gemma":[0.8510761,0.003425723,0.1426089,0.0003090438,0.0007590328,0.0007976175,0.0001609743,0.0002475842,0.0006150141],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8874884,"threshold_uncertainty_score":0.9997489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681886136880149,"score_gpt":0.2957229308371117,"score_spread":0.2689040694683102,"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."}}