{"id":"W2787727062","doi":"10.1161/circresaha.117.312535","title":"Noninvasive Immunometabolic Cardiac Inflammation Imaging Using Hyperpolarized Magnetic Resonance","year":2018,"lang":"en","type":"article","venue":"Circulation Research","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council; Novo Nordisk Fonden; British Heart Foundation; Novo Nordisk; National Institute for Health and Care Research","keywords":"Inflammation; Medicine; Magnetic resonance imaging; Hyperpolarization (physics); Macrophage polarization; Macrophage; Proinflammatory cytokine; Internal medicine; Chemistry; In vitro; Nuclear magnetic resonance spectroscopy; Biochemistry","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":[0.0004249835,0.0005161567,0.0002291186,0.0002780691,0.0001118783,0.0004911763,0.0003352376,0.0006463961,0.001560858],"category_scores_gemma":[0.0002391851,0.0001381891,0.0001081936,0.0001291599,0.0006714243,0.0003013613,0.0003109948,0.0006204634,0.0004021916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811458,"about_ca_system_score_gemma":0.0003086666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001875124,"about_ca_topic_score_gemma":0.0003351146,"domain_scores_codex":[0.9998516,0.00005658526,0.000007888837,0.00003208188,0.00003011934,0.00002176127],"domain_scores_gemma":[0.9998591,0.00003014837,0.00005051719,0.000008401219,0.00002164761,0.00003004851],"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":[0.0004039406,0.0001177818,0.002557666,0.0004017251,0.00001588738,0.000271557,0.0000283758,0.0002792292,0.9816845,0.0005293119,0.0002606609,0.01344931],"study_design_scores_gemma":[0.0004204532,0.005335847,0.02913703,0.0003856605,0.0002532779,0.007536001,0.0001883493,0.009306087,0.9264094,0.001877383,0.01907021,0.00008032021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8323771,0.03244316,0.1214269,0.002974559,0.0001366382,0.0005305952,0.0003892197,0.0004670024,0.009254818],"genre_scores_gemma":[0.9143876,0.01217144,0.06787685,0.001239089,0.000215688,0.0003908862,0.0003668505,0.00003288463,0.003318736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001560858,"threshold_uncertainty_score":0.005221605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06506587964241937,"score_gpt":0.3642731230114101,"score_spread":0.2992072433689907,"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."}}