{"id":"W3194468737","doi":"10.1016/j.jcmg.2021.07.010","title":"Accuracy of Cardiac Magnetic Resonance Imaging in Diagnosing Pediatric Cardiac Masses","year":2021,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac tumors and thrombi","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Medical diagnosis; Differential diagnosis; Malignancy; Radiology; Magnetic resonance imaging; Diagnostic accuracy; Cardiac magnetic resonance imaging; Internal medicine; Pathology","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":[0.005077924,0.0007998137,0.0004568212,0.002491989,0.0003974641,0.001623008,0.001041118,0.001321255,0.001702824],"category_scores_gemma":[0.03384416,0.0005606437,0.0007963625,0.0007388854,0.0006636255,0.001872559,0.0006613355,0.0009972944,0.001245213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006884843,"about_ca_system_score_gemma":0.000836541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00411652,"about_ca_topic_score_gemma":0.006624493,"domain_scores_codex":[0.9957688,0.00103482,0.0007729289,0.0005260587,0.001462228,0.0004352658],"domain_scores_gemma":[0.980295,0.01134516,0.00216789,0.001198122,0.004337884,0.0006559141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002009782,0.00002732484,0.9614532,0.0001226859,0.00007361922,0.001330135,0.0001351366,0.001134379,0.002056175,0.000184836,0.0006775846,0.03260393],"study_design_scores_gemma":[0.00003803193,0.0004681432,0.9154099,0.0007115565,0.0008481587,0.03318579,0.0006916362,0.02614691,0.01442267,0.0005930308,0.007432175,0.00005192788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472467,0.02087763,0.009984605,0.001437188,0.000385985,0.00008079913,0.001138953,0.0003227137,0.01852546],"genre_scores_gemma":[0.9918036,0.00337702,0.003701406,0.0001340751,0.000122157,0.00001116419,0.0003970368,0.00003669068,0.0004168425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005077924,"threshold_uncertainty_score":0.02685499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00795396045884943,"score_gpt":0.2443667412579962,"score_spread":0.2364127807991468,"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."}}