{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006739695,0.0005117899,0.0004425651,0.001390361,0.0002427702,0.0007866346,0.00074548,0.0008764894,0.002116894],"category_scores_gemma":[0.001226051,0.0003265061,0.0003821252,0.0009507381,0.0005469983,0.001840789,0.001211237,0.0008411394,0.0007097851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004209049,"about_ca_system_score_gemma":0.0003776743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005265142,"about_ca_topic_score_gemma":0.000359331,"domain_scores_codex":[0.9994519,0.000156403,0.00002318591,0.0001247499,0.0001884174,0.00005533917],"domain_scores_gemma":[0.9996625,0.0001525575,0.00004817984,0.00005048438,0.00006649776,0.00001975336],"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":[0.0003014168,0.00009149714,0.0008833844,0.00068175,0.00002903335,0.0002421206,0.0002049571,0.00397979,0.67698,0.01978425,0.001849881,0.294972],"study_design_scores_gemma":[0.0001116194,0.001611885,0.008900465,0.000374817,0.0001081922,0.005758411,0.000182808,0.1441067,0.7126222,0.03077587,0.09513951,0.0003074651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03484648,0.01262385,0.9459212,0.0002651808,0.0001387977,0.0001207574,0.0001517635,0.00107704,0.004854889],"genre_scores_gemma":[0.2462533,0.008420072,0.7389376,0.0003859691,0.0002724921,0.000345955,0.0002571279,0.0001330339,0.004994514],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002116894,"threshold_uncertainty_score":0.007081687,"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."}}