{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001031063,0.00145944,0.002554676,0.003138337,0.0002740651,0.001357853,0.001102844,0.001948381,0.003023349],"category_scores_gemma":[0.001538514,0.0005128187,0.0005880928,0.002729659,0.0008342285,0.001984878,0.000833332,0.002628544,0.002781257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006620939,"about_ca_system_score_gemma":0.00131826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001542296,"about_ca_topic_score_gemma":0.002907999,"domain_scores_codex":[0.999703,0.00005764483,0.00005950491,0.00005119869,0.00009903483,0.00002966354],"domain_scores_gemma":[0.9990369,0.0004720333,0.0001278307,0.00002525902,0.0002631649,0.0000748685],"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":[0.0001384778,0.0000943685,0.0002930656,0.01374185,0.0001267428,0.0004650344,0.00003340274,0.0002913999,0.001602566,0.001134173,0.05271056,0.9293684],"study_design_scores_gemma":[0.0001380191,0.0002213861,0.002494463,0.008634857,0.000481345,0.005889643,0.00009606355,0.0003230519,0.0007182964,0.002456178,0.9784772,0.00006953491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004768059,0.9988123,0.0001047568,0.0002500723,0.0002879599,0.000002990078,0.000008060147,0.000005599769,0.0004806214],"genre_scores_gemma":[0.0004598755,0.9975315,0.0002340126,0.0003372348,0.0009993629,0.00000509869,0.0000208264,0.000001768071,0.0004102652],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003138337,"threshold_uncertainty_score":0.01011413,"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."}}