{"id":"W3096165179","doi":"10.3791/61838","title":"Blood Flow Imaging with Ultrafast Doppler","year":2020,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Blood flow; Doppler effect; SIGNAL (programming language); Biomedical engineering; Computer science; Imaging phantom; Photoacoustic Doppler effect; Acoustics; Ultrasound; Flow (mathematics); Ultrashort pulse; Optics; Physics; Computer vision; Laser; Medicine; Radiology","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":[0.00005621739,0.0001167946,0.0002806397,0.00004953404,0.00004523158,0.00001601295,0.00008990542,0.00002466577,0.0001764486],"category_scores_gemma":[0.00002091021,0.00008198144,0.00008889011,0.000152321,0.00003812491,0.0001248145,0.00001874369,0.0001693344,0.000007681369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002597416,"about_ca_system_score_gemma":0.00005605006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001350322,"about_ca_topic_score_gemma":3.678464e-8,"domain_scores_codex":[0.9991136,0.00001304771,0.0003275863,0.000119212,0.000283309,0.0001432119],"domain_scores_gemma":[0.9992443,0.00001298353,0.0002352043,0.0001117802,0.0001479608,0.0002477333],"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":[0.0008965706,0.0006463507,0.002214416,0.00002481077,0.0001143492,0.0002706724,0.001257157,0.00005371855,0.9879595,0.000222061,0.003888509,0.002451884],"study_design_scores_gemma":[0.006163971,0.0009795885,0.0002872747,0.0001862368,0.0001951989,0.001248101,0.0007096613,0.0007976675,0.9674591,0.00005324481,0.02176331,0.0001566826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4621845,0.001482917,0.5223644,0.008958045,0.0000982719,0.0007920796,0.00001114334,0.0001981347,0.003910442],"genre_scores_gemma":[0.7932398,0.0001059335,0.2040155,0.002242013,0.0002777289,0.0000138153,0.000004673052,0.00003265945,0.00006780877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3310553,"threshold_uncertainty_score":0.3343106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179512041828361,"score_gpt":0.4345805207752808,"score_spread":0.4027854003569972,"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."}}