{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004039089,0.00005385323,0.0001621706,0.0001182383,0.0001175625,0.000002603195,0.00002609447,0.00003102248,0.00006907985],"category_scores_gemma":[0.0001776739,0.00005112022,0.00003402721,0.0001841672,0.00003803808,0.00003695573,0.0000359113,0.00008362839,0.000005844325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007805376,"about_ca_system_score_gemma":0.00005057148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000045192,"about_ca_topic_score_gemma":6.968875e-7,"domain_scores_codex":[0.9990683,0.0002388446,0.0001928868,0.0001755503,0.0002165263,0.000107943],"domain_scores_gemma":[0.999606,0.00005192301,0.00003720662,0.0001480094,0.00007458557,0.0000823445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002038019,0.0001654164,0.9463663,0.00001455085,0.00007340529,0.000009084183,0.0001144743,0.0004733107,0.05090297,0.0002384751,0.0002359426,0.001202307],"study_design_scores_gemma":[0.0001501352,0.001191808,0.9843827,0.000008392001,0.00008808995,0.00009456684,0.0001579877,0.001036218,0.0115814,0.0009172966,0.0003377178,0.00005368093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963081,0.0001109547,0.002069165,0.0007401656,0.0001660997,0.0004288887,0.00005893853,0.00001816891,0.00009951829],"genre_scores_gemma":[0.9990495,0.00001630849,0.0004474376,0.00008942181,0.00003996869,0.00007698795,0.0002377867,0.000005551687,0.00003703773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03932157,"threshold_uncertainty_score":0.2084622,"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."}}