{"id":"W4282019082","doi":"10.1109/tmi.2022.3176814","title":"Volumetric Fetal Flow Imaging With Magnetic Resonance Imaging","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; SickKids Foundation; University of Toronto","funders":"Peterborough K. M. Hunter Charitable Foundation; Canadian Institutes of Health Research; Hospital for Sick Children; University of Toronto","keywords":"Magnetic resonance imaging; Blood flow; Ductus venosus; Cardiac cycle; Cardiac imaging; Inferior vena cava; Medicine; Multislice; Biomedical engineering; Computer science; Nuclear medicine; Radiology; Fetus; Cardiology; Pregnancy","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":[0.0009359086,0.0007594741,0.0003362704,0.002077333,0.0002241634,0.0009982178,0.0008897027,0.0008965489,0.002835149],"category_scores_gemma":[0.003163608,0.0005162693,0.0004109349,0.0010198,0.0004621256,0.001078554,0.001161242,0.000806354,0.0007090583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003642862,"about_ca_system_score_gemma":0.0005770873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131159,"about_ca_topic_score_gemma":0.0008410865,"domain_scores_codex":[0.9995426,0.0001515172,0.00002854586,0.00008145511,0.0001645773,0.00003134958],"domain_scores_gemma":[0.9992576,0.0003633677,0.0001302087,0.0000976158,0.0001113226,0.00003974096],"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":[0.0003442627,0.00008521018,0.005068813,0.0009189707,0.0001257115,0.001373191,0.000269277,0.02136774,0.5074759,0.01757836,0.005577559,0.439815],"study_design_scores_gemma":[0.0001133608,0.0008147619,0.01931056,0.000518809,0.0003016772,0.02135145,0.0002255673,0.3119377,0.5394156,0.02712123,0.07856665,0.0003226683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02594194,0.003612428,0.9626705,0.0005197012,0.0001041107,0.0001022969,0.0005100426,0.001854958,0.004684065],"genre_scores_gemma":[0.2422961,0.006433708,0.7462016,0.0005060136,0.0003626242,0.0002440934,0.0009605144,0.0007114253,0.002283883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002835149,"threshold_uncertainty_score":0.009484529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007618771136247589,"score_gpt":0.2295964305456015,"score_spread":0.2219776594093539,"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."}}