{"id":"W4324353146","doi":"10.3791/65000","title":"Advanced Techniques for Studying Blood Flow","year":2023,"lang":"en","type":"editorial","venue":"Journal of Visualized Experiments","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Blood flow; Laser Doppler velocimetry; Transcranial Doppler; Magnetic resonance imaging; Multispectral image; Medicine; Nuclear magnetic resonance; Cerebral blood flow; Doppler ultrasound; Perfusion; Doppler effect; Nuclear medicine; Biomedical engineering; Anatomy; Physics; Radiology; Computer science; Cardiology; Artificial intelligence","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":[0.004603457,0.003096791,0.00169678,0.004212607,0.001123478,0.00335886,0.002555306,0.006218566,0.01588571],"category_scores_gemma":[0.007142559,0.001062764,0.002199544,0.001330824,0.002532145,0.004020555,0.002156994,0.01515373,0.01861936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002146805,"about_ca_system_score_gemma":0.001368013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008391876,"about_ca_topic_score_gemma":0.002013691,"domain_scores_codex":[0.996945,0.0005253973,0.0003689236,0.0003769363,0.00163517,0.0001485834],"domain_scores_gemma":[0.9947928,0.001467696,0.000260634,0.0002561583,0.002650443,0.0005722815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008942076,0.00001884076,0.00004052494,0.001250756,0.00004427202,0.0002384847,0.00002917569,0.00005883245,0.001696274,0.003982193,0.9176483,0.07490292],"study_design_scores_gemma":[0.00001099553,0.0000123038,0.00005280635,0.0001209384,0.000010414,0.0002233727,0.000005811556,0.00002654095,0.00020506,0.0007268499,0.998598,0.000006907088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008711463,0.172656,0.002125102,0.02067505,0.7955484,0.00005603534,0.00008407715,0.0001668295,0.008601317],"genre_scores_gemma":[0.001479956,0.2076234,0.002268495,0.0187477,0.7150466,0.0001040783,0.0001632166,0.000148624,0.05441796],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01588571,"threshold_uncertainty_score":0.05314302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864306566350117,"score_gpt":0.3934582372934028,"score_spread":0.3748151716299017,"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."}}