{"id":"W4406045835","doi":"10.1088/1361-6560/ada5a3","title":"Dual-modality flow phantom for ultrasound and optical flow measurements","year":2025,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Research Institute for Aging","funders":"Canadian Institutes of Health Research; E.W.R. Steacie Memorial Fund","keywords":"Imaging phantom; Modality (human–computer interaction); Flow (mathematics); Optical flow; Ultrasound; Medical physics; Computer science; Optics; Computer vision; Acoustics; Physics; Artificial intelligence; Mechanics; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002135715,0.0009486289,0.0004754344,0.0009928368,0.0002519377,0.0005890328,0.0007603854,0.001051297,0.0028068],"category_scores_gemma":[0.002178119,0.0004568029,0.0003025797,0.0003551287,0.0005811321,0.0007591459,0.0007597614,0.0007124735,0.0006498524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000551091,"about_ca_system_score_gemma":0.0008716646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003311694,"about_ca_topic_score_gemma":0.0002806181,"domain_scores_codex":[0.9993846,0.0001477109,0.00003866354,0.0002040074,0.0001672486,0.000057575],"domain_scores_gemma":[0.9987097,0.0005489339,0.0002326784,0.0001149404,0.0002765708,0.0001172745],"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":[0.0001932221,0.00007139734,0.0002535698,0.0001076499,0.000004587653,0.00004562828,0.00002212196,0.0004912721,0.9900504,0.0007915078,0.0003355595,0.007633047],"study_design_scores_gemma":[0.00007089759,0.0006313175,0.00169399,0.00004314442,0.00003637993,0.0005974724,0.00001788555,0.0235122,0.9619084,0.0004680424,0.01095148,0.00006883954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1231821,0.002434582,0.8668048,0.0004318469,0.0003625134,0.0007969425,0.0006251597,0.002531589,0.002830427],"genre_scores_gemma":[0.3266959,0.0009871032,0.6651394,0.0004701003,0.0001252993,0.001896223,0.0006281149,0.0001580478,0.003899851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0028068,"threshold_uncertainty_score":0.01129484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1915792247999129,"score_gpt":0.363362670801365,"score_spread":0.1717834460014521,"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."}}