{"id":"W4321598928","doi":"10.3390/app13052810","title":"4D-Flow MRI Characterization of Pulmonary Flow in Repaired Tetralogy of Fallot","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"University of Calgary","keywords":"Medicine; Cardiology; Internal medicine; Hemodynamics; Tetralogy of Fallot; Blood flow; Ventricle; Pulmonary artery; Magnetic resonance imaging; Regurgitant fraction; Ejection fraction; Radiology; Heart failure; Heart disease","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":[0.0003597449,0.0002311046,0.0001682677,0.001140571,0.00009941659,0.0002912664,0.0001598862,0.0004519469,0.0006257984],"category_scores_gemma":[0.0009723706,0.0001409148,0.0001207541,0.0001829982,0.000220251,0.0003203792,0.0001981222,0.0001626193,0.0001086923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051229,"about_ca_system_score_gemma":0.00008877124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004590396,"about_ca_topic_score_gemma":0.0005035333,"domain_scores_codex":[0.9999216,0.00002272954,0.00001115185,0.00001871702,0.00001135746,0.00001442415],"domain_scores_gemma":[0.9997281,0.00006455208,0.0001065043,0.00001728613,0.00003646602,0.00004699002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001668046,0.0002384426,0.6883811,0.0001805011,0.00008572499,0.003438446,0.0005156901,0.0008273348,0.2624928,0.0001729303,0.0003078523,0.04169102],"study_design_scores_gemma":[0.00002342193,0.000621333,0.977878,0.00002467445,0.00005804585,0.006975377,0.000241594,0.003102137,0.01043338,0.0001234433,0.0004999446,0.0000187391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981775,0.0003418542,0.00118312,0.00002261756,0.000005245335,0.000009791383,0.00006069386,0.000009278512,0.0001899548],"genre_scores_gemma":[0.997768,0.0002078377,0.00176876,0.00002330136,0.00001835371,0.00001006675,0.00008403041,0.00000404974,0.0001156003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001140571,"threshold_uncertainty_score":0.002093494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694598898930245,"score_gpt":0.2772765023717836,"score_spread":0.2503305133824812,"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."}}