{"id":"W2059335069","doi":"10.2967/jnumed.109.068197","title":"Imaging Myocardial Metabolic Remodeling","year":2010,"lang":"en","type":"review","venue":"Journal of Nuclear Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Myocardial hypertrophy; Myocardial ischemia; Cardiology; Disease; Internal medicine; Ventricular remodeling; Muscle hypertrophy; Ischemia; Myocardial infarction","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":[0.0006865017,0.0008799452,0.001264606,0.00201417,0.0001970392,0.0008583929,0.0007910565,0.001592606,0.003116568],"category_scores_gemma":[0.0008919932,0.0002863658,0.0004686681,0.001510365,0.0005053665,0.001055032,0.0005490378,0.001145017,0.003806349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004666857,"about_ca_system_score_gemma":0.0004460143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008781386,"about_ca_topic_score_gemma":0.001315698,"domain_scores_codex":[0.9997713,0.00005068986,0.00001730271,0.00004714601,0.00009200578,0.00002157063],"domain_scores_gemma":[0.9996823,0.000131786,0.00004356323,0.00001425284,0.0001084079,0.00001964431],"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":[0.0001356044,0.00006835558,0.001209208,0.007527711,0.0001337925,0.0008855442,0.00008803513,0.0003362771,0.02261902,0.002716979,0.02470354,0.9395759],"study_design_scores_gemma":[0.00006161593,0.0003679971,0.008205301,0.004369915,0.0003373798,0.03003742,0.000236282,0.0008428363,0.02418089,0.005266268,0.925994,0.0001001536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008962885,0.9892361,0.002856157,0.000523456,0.0003709106,0.00001780809,0.00005267719,0.00004721782,0.005999401],"genre_scores_gemma":[0.008125848,0.9821585,0.003968811,0.0006158083,0.0006228548,0.00002973438,0.0001217857,0.00001442733,0.004342177],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003116568,"threshold_uncertainty_score":0.01042598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03629722110820292,"score_gpt":0.3522837107799435,"score_spread":0.3159864896717405,"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."}}