{"id":"W1813481633","doi":"10.1016/j.cjca.2015.10.009","title":"Metabolically Active Brown Fat Mimicking Pericardial Metastasis on PET/CT: The Discriminating Role of Cardiac Magnetic Resonance Imaging","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Medicine; Magnetic resonance imaging; Malignancy; Positron emission tomography; Radiology; Metastasis; Lesion; Pericardium; Brown adipose tissue; Breast cancer; Adipose tissue; Cancer; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009604005,0.001379243,0.0006675082,0.001670012,0.0004882516,0.0016956,0.001013048,0.002086898,0.00183887],"category_scores_gemma":[0.005358651,0.0005773387,0.0004515931,0.0006854476,0.001237706,0.002079951,0.0007086118,0.001401097,0.0007712033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004442222,"about_ca_system_score_gemma":0.0004733963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383377,"about_ca_topic_score_gemma":0.001687104,"domain_scores_codex":[0.9996818,0.00006506033,0.00004033932,0.00005449396,0.0000559535,0.0001022887],"domain_scores_gemma":[0.9985334,0.0006552764,0.0002395768,0.0001291707,0.0001611642,0.0002813605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.001002552,0.0001425984,0.2442,0.0002136419,0.00006938516,0.7033213,0.0002242886,0.0006032123,0.02269213,0.001119201,0.0007861121,0.02562549],"study_design_scores_gemma":[0.00008396715,0.0002563875,0.1192823,0.0002158767,0.0002551854,0.8630586,0.0009143,0.005719137,0.005479444,0.002441859,0.002247402,0.00004571297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737191,0.01019218,0.003538175,0.002814674,0.000160776,0.00009923,0.0001248216,0.00006310805,0.009287925],"genre_scores_gemma":[0.9951062,0.002520488,0.001232407,0.0002812754,0.0005397661,0.000006597361,0.00004826754,0.00001185019,0.0002531246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002086898,"threshold_uncertainty_score":0.006151617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426460475071341,"score_gpt":0.2385838386665822,"score_spread":0.2243192339158688,"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."}}