{"id":"W1998055815","doi":"10.1016/j.pcad.2011.09.003","title":"Cardiovascular Magnetic Resonance Imaging in Myocarditis","year":2011,"lang":"en","type":"review","venue":"Progress in Cardiovascular Diseases","topic":"Viral Infections and Immunology Research","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; Libin Cardiovascular Institute of Alberta; Université de Montréal; University of Calgary","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Myocarditis; Magnetic resonance imaging; Cardiac magnetic resonance; Cardiac magnetic resonance imaging; Cardiology; Nuclear magnetic resonance; Internal medicine; Radiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001127172,0.0007889068,0.005227454,0.001375497,0.0001051996,0.00007679066,0.0004846736,0.0004369681,0.0001221671],"category_scores_gemma":[0.0002277534,0.0006975599,0.007968499,0.0016247,0.0006664062,0.0001959662,0.0004022666,0.001236474,0.0001672877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004888896,"about_ca_system_score_gemma":0.000630016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002315164,"about_ca_topic_score_gemma":0.000006721542,"domain_scores_codex":[0.9945266,0.001182339,0.0009753014,0.001400657,0.0008311562,0.001083921],"domain_scores_gemma":[0.9967357,0.00008202754,0.00009198373,0.002663096,0.0001713012,0.000255901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002806137,0.0003018916,0.0348612,0.007550746,0.002282642,0.00299389,0.0000189624,0.000001350865,3.067577e-9,0.00001816436,0.0001201716,0.9518229],"study_design_scores_gemma":[0.001456864,0.0001082432,0.0326274,0.01594338,0.007216236,0.0007397548,0.00001917577,0.000007821041,2.101416e-7,0.00002974828,0.9412501,0.0006011011],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002778048,0.9954471,0.000009066487,0.00001103279,0.0003840974,0.002753046,0.00009758772,0.0001336005,0.001136681],"genre_scores_gemma":[0.0003948376,0.9956273,0.0001057578,0.0000145871,0.0003205075,0.003088798,0.0001681563,0.0001802084,0.00009977564],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9512218,"threshold_uncertainty_score":0.9995475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368957757823388,"score_gpt":0.3250143946153062,"score_spread":0.2913248170370724,"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."}}