{"id":"W2962204438","doi":"10.1002/jmri.26858","title":"Intracardiac 4D Flow MRI in Congenital Heart Disease: Recommendations on Behalf of the ISMRM Flow & Motion Study Group","year":2019,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Hospital for Sick Children","funders":"Academy of Medical Sciences","keywords":"Intracardiac injection; Medicine; Heart disease; Cardiology; Internal medicine; Flow (mathematics); Mechanics; Physics","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":[0.0004049373,0.0001177507,0.000285281,0.0001318797,0.00005847867,0.00001958699,0.000144203,0.00002418589,0.000130787],"category_scores_gemma":[0.0000929142,0.00008729655,0.0001397569,0.0002682367,0.00006567361,0.0001412889,0.00004569191,0.0003844475,0.000006965448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009271604,"about_ca_system_score_gemma":0.00006430103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001302937,"about_ca_topic_score_gemma":0.00001053979,"domain_scores_codex":[0.9987174,0.00008304747,0.0005330642,0.0001643446,0.0003417536,0.0001604176],"domain_scores_gemma":[0.999046,0.00009574796,0.0002352607,0.0003843798,0.0001569572,0.00008169559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000394892,0.00202845,0.6408743,0.00004505909,0.00001316324,0.00002051841,0.0006420838,0.001979923,0.004245683,0.0003014628,0.005243311,0.3442112],"study_design_scores_gemma":[0.001916487,0.0004258143,0.951719,0.0005153245,0.0001052775,0.00006568586,0.0004113434,0.005843985,0.0001780219,0.0007809766,0.03790852,0.0001295466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540516,0.003725459,0.01570903,0.02386934,0.0003990612,0.001708237,0.00004124418,0.00002502188,0.0004710097],"genre_scores_gemma":[0.9634935,0.0002251258,0.035533,0.0003814648,0.0001210735,0.00003108373,0.000005571722,0.00001988898,0.0001892571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3440816,"threshold_uncertainty_score":0.355985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182300775780934,"score_gpt":0.301469793834807,"score_spread":0.2896467860769977,"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."}}