{"id":"W4405554684","doi":"10.1515/cdbme-2024-2028","title":"A Custom-Built Piezo-Optical System for Visualization and Characterization of High Intensity Focused Ultrasound","year":2024,"lang":"en","type":"article","venue":"Current Directions in Biomedical Engineering","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Profound Medical (Canada)","funders":"","keywords":"Visualization; High-intensity focused ultrasound; Characterization (materials science); Ultrasound; Materials science; Intensity (physics); Computer science; Optics; Biomedical engineering; Acoustics; Engineering; Artificial intelligence; Nanotechnology; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001747229,0.0001497186,0.0002332334,0.0003839949,0.00003036533,0.00003935144,0.00005666,0.00008788495,0.000004385249],"category_scores_gemma":[0.0001474906,0.0001529671,0.0000443973,0.0005553856,0.00005050117,0.0001333431,0.00001566555,0.0001786614,0.000001517644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721474,"about_ca_system_score_gemma":0.00002176603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008495056,"about_ca_topic_score_gemma":8.943414e-7,"domain_scores_codex":[0.9991097,0.000006584411,0.0003290204,0.0001971555,0.0001349986,0.0002225681],"domain_scores_gemma":[0.9995709,0.0001956686,0.00001655884,0.00009044538,0.00004028798,0.00008612232],"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":[0.00003425027,0.000215994,0.0003674945,0.01248182,0.0002270473,0.0000131745,0.001349111,0.006806153,0.8025606,0.01828558,0.0004045348,0.1572542],"study_design_scores_gemma":[0.0002987606,0.0000221571,0.001780474,0.001387121,0.00004943556,0.0000431733,0.00004135065,0.9787723,0.01289945,0.00002541915,0.004481957,0.0001983515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3665586,0.0006255762,0.6291899,0.00001314914,0.002817794,0.0002000782,0.00006050178,0.0005167922,0.00001761219],"genre_scores_gemma":[0.9987139,0.0002249372,0.000629172,0.000001531462,0.0001969449,0.00007740811,0.000116522,0.00003563099,0.000004024584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9719662,"threshold_uncertainty_score":0.6237816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009540074428718015,"score_gpt":0.2446383789053764,"score_spread":0.2350983044766584,"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."}}