{"id":"W4282835526","doi":"10.1148/radiol.212929","title":"Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction","year":2022,"lang":"en","type":"article","venue":"Radiology","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Medical Research Council; National Institute for Health and Care Research; British Heart Foundation; Wellcome Trust","keywords":"Medicine; Intraclass correlation; Pulmonary hypertension; Cardiology; Internal medicine; Cardiac catheterization; Stroke volume; Radiology; Magnetic resonance imaging; Cardiac magnetic resonance imaging; Ventricle; Heart failure; Ejection fraction","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":[0.0125516,0.0005086828,0.000399619,0.001100688,0.0002673054,0.001084122,0.0006936174,0.0008947281,0.0005836833],"category_scores_gemma":[0.04862345,0.0001923799,0.000484948,0.0006187577,0.0008204671,0.0004823095,0.0008636527,0.0006979703,0.0002393311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002901501,"about_ca_system_score_gemma":0.0004505315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005425,"about_ca_topic_score_gemma":0.0008115963,"domain_scores_codex":[0.9935136,0.003845224,0.000558681,0.0009640654,0.0008844243,0.0002339394],"domain_scores_gemma":[0.9504294,0.03338568,0.006763669,0.00492719,0.003677314,0.0008167627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000324877,0.0001059498,0.9820234,0.00002349078,0.0002945414,0.00003299382,0.00007756924,0.0048254,0.000782333,0.00009204409,0.0002197469,0.01119755],"study_design_scores_gemma":[0.00005150598,0.0008028219,0.8851933,0.00004608946,0.0001804155,0.0004270189,0.0001075791,0.1087659,0.002995847,0.0007338912,0.0006654856,0.00003012431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907141,0.0003001487,0.007539714,0.0001243436,0.00002678117,0.00004322993,0.0003778665,0.00007663182,0.000797166],"genre_scores_gemma":[0.9982236,0.00002857357,0.001280562,0.00002365026,0.00001379618,0.00001703897,0.000348437,0.000006847763,0.00005749275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125516,"threshold_uncertainty_score":0.06638002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142726426968849,"score_gpt":0.345476791302081,"score_spread":0.2312041486051961,"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."}}