{"id":"W2104863649","doi":"10.1161/circimaging.111.965996","title":"Cardiac Magnetic Resonance Imaging for Noninvasive Assessment of Cardiovascular Disease During the Follow-Up of Patients With Kawasaki Disease","year":2011,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Kawasaki Disease and Coronary Complications","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Agricultural Sciences; Rare Disease Foundation","keywords":"Medicine; Kawasaki disease; Magnetic resonance imaging; Disease; Cardiac magnetic resonance; Cardiology; Cardiac magnetic resonance imaging; Internal medicine; Heart disease; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004529785,0.0003252088,0.0007673008,0.0001867224,0.0002762907,0.00002317261,0.0002471454,0.00002728446,0.00002879317],"category_scores_gemma":[0.0001106207,0.0002682356,0.002457105,0.0004262814,0.0002522716,0.0002799635,0.00009212983,0.0001329389,0.000002065739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154668,"about_ca_system_score_gemma":0.0004008395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007579174,"about_ca_topic_score_gemma":4.469794e-7,"domain_scores_codex":[0.9970707,0.0001846166,0.0005472066,0.0006835532,0.001118577,0.0003953728],"domain_scores_gemma":[0.9962136,0.00007062781,0.0001996685,0.002140398,0.001047223,0.0003284882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003897231,0.000211496,0.9776236,0.0005642572,0.002041066,0.00003501904,0.0002198683,0.002865523,0.00007964626,0.0002394043,0.00002097796,0.01570936],"study_design_scores_gemma":[0.00391227,0.00002637245,0.9826201,0.0002827135,0.0072101,0.000005420494,0.0001572706,0.003271956,0.0001056946,0.0001162695,0.00199751,0.0002943761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8883461,0.07605067,0.03017923,0.0001027316,0.0002911469,0.003880064,0.0003951084,0.00009946241,0.0006555103],"genre_scores_gemma":[0.9979421,0.0001520039,0.0008907882,0.00004621656,0.0001155661,0.0005172334,0.000230705,0.00008072065,0.00002462265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1095961,"threshold_uncertainty_score":0.999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355628529385581,"score_gpt":0.2286427121724296,"score_spread":0.2150864268785738,"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."}}