{"id":"W7144220405","doi":"10.71465/ajbe1590","title":"Advances in Biomedical Imaging and Visualization Technologies","year":2025,"lang":"","type":"article","venue":"American Journal of Biomedical Engineering","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Visualization; Optical coherence tomography; Medical imaging; Positron emission tomography; Magnetic resonance imaging; Imaging technology; Modalities; Photoacoustic imaging in biomedicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000745727,0.0004018229,0.0009118065,0.002201154,0.00005524257,0.00007723086,0.0004116081,0.0001358873,0.00001437425],"category_scores_gemma":[0.001112943,0.0003909208,0.0001171603,0.002711576,0.001008883,0.0005178782,0.0001357822,0.0009794222,0.000001243751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003232887,"about_ca_system_score_gemma":0.0002046643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001921982,"about_ca_topic_score_gemma":7.245362e-7,"domain_scores_codex":[0.9971212,0.00004246128,0.001312263,0.0003015743,0.0005096659,0.0007128249],"domain_scores_gemma":[0.998679,0.0005118973,0.0002952943,0.0001878515,0.00009301392,0.0002329295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004283241,0.000136814,0.001423906,0.0006075706,0.0001171558,0.0002697039,0.0004612375,0.005490334,0.01321188,0.0007481776,0.0001795424,0.9773108],"study_design_scores_gemma":[0.002185997,0.0003842967,0.002115567,0.005876068,0.0001984266,0.0006323839,0.007737795,0.9222364,0.001073913,0.0004062415,0.05643163,0.0007212461],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04467243,0.05739614,0.8933209,0.001731233,0.002223741,0.0001621129,0.0000113636,0.0002281669,0.0002538791],"genre_scores_gemma":[0.9716985,0.02200408,0.006036872,0.00006498623,0.0001394041,0.000005085687,0.000002944882,0.00004232951,0.000005802468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9765896,"threshold_uncertainty_score":0.9998543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00162658213810328,"score_gpt":0.230325425593592,"score_spread":0.2286988434554887,"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."}}