{"id":"W2058185649","doi":"10.1161/circimaging.112.000125","title":"Selective In Vivo Visualization of Immune-Cell Infiltration in a Mouse Model of Autoimmune Myocarditis by Fluorine-19 Cardiac Magnetic Resonance","year":2013,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre Hospitalier Universitaire Vaudois; Université de Lausanne; Centre d'Imagerie BioMédicale; Université de Genève; École Polytechnique Fédérale de Lausanne; Université Laval","keywords":"Myocarditis; In vivo; Inflammation; Medicine; Ventricle; Flow cytometry; Pathology; Magnetic resonance imaging; Immunofluorescence; Immune system; Internal medicine; Immunology; Antibody; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006630244,0.0006895106,0.0003593469,0.0006827462,0.0001418938,0.0003034866,0.0002698422,0.0007045883,0.0009692014],"category_scores_gemma":[0.0001613443,0.0002387626,0.0002835785,0.0001532054,0.0002792929,0.0003541005,0.0001920569,0.0007501038,0.0003364224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002015984,"about_ca_system_score_gemma":0.0001276535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002704206,"about_ca_topic_score_gemma":0.000386913,"domain_scores_codex":[0.9997382,0.00004828063,0.00001688824,0.00007628633,0.00004956043,0.00007070663],"domain_scores_gemma":[0.9997336,0.00004455242,0.0000976205,0.00002181715,0.00003190763,0.00007047936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001376733,0.00003885735,0.0001205745,0.00001479496,0.000002596105,0.00002374407,0.000007328816,0.00001498902,0.999195,0.00001502838,0.00001015458,0.0004191378],"study_design_scores_gemma":[0.00006462532,0.001937515,0.006983349,0.00001446561,0.0000491395,0.0005270937,0.00002587033,0.001348104,0.9879922,0.00004092183,0.001008498,0.000008251435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866788,0.002903872,0.008809704,0.0001260716,0.00004583356,0.00005435338,0.0002093094,0.0001589016,0.001013208],"genre_scores_gemma":[0.977038,0.001972352,0.0180023,0.0001129872,0.00006428319,0.0001158905,0.0004391196,0.00006412504,0.002190998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009692014,"threshold_uncertainty_score":0.003506482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007197672003124512,"score_gpt":0.2243429290910301,"score_spread":0.2171452570879056,"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."}}