{"id":"W4411201516","doi":"10.1177/08465371251345309","title":"Combined FDG-PET/MRI, 4D Flow, and Blood Biomarker Evaluation of Vascular Inflammation and Endothelial Activation After COVID-19","year":2025,"lang":"en","type":"letter","venue":"Canadian Association of Radiologists Journal","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto; Health Sciences Centre; University Health Network; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Biomarker; Inflammation; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Radiology; Pathology; Internal medicine","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":[0.0009798118,0.0007254453,0.001425613,0.0006976922,0.001694292,0.00160667,0.001135032,0.01328967,0.002625003],"category_scores_gemma":[0.005520726,0.0004520727,0.001323883,0.000477364,0.001383566,0.001383428,0.0004751067,0.009259484,0.001969538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00353395,"about_ca_system_score_gemma":0.002135883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007247844,"about_ca_topic_score_gemma":0.01532621,"domain_scores_codex":[0.9989825,0.0001909194,0.0001501694,0.0001234385,0.0002707365,0.0002822629],"domain_scores_gemma":[0.9981129,0.0008340407,0.0001173866,0.00009335268,0.0004031611,0.0004391152],"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":[0.001005324,0.0005110825,0.02208394,0.000171293,0.0000979011,0.7063683,0.0003676844,0.0004048127,0.003057383,0.00378316,0.2277368,0.03441236],"study_design_scores_gemma":[0.0007828067,0.001539922,0.0381907,0.001193982,0.0002925684,0.6131499,0.001357339,0.007369321,0.004235481,0.01606187,0.3155958,0.000230361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07462376,0.009987225,0.003130641,0.8270669,0.03147297,0.0002741282,0.0005532646,0.0002710743,0.05262002],"genre_scores_gemma":[0.4179882,0.006311084,0.003939576,0.4580605,0.08012886,0.0002326673,0.0004740857,0.0001125453,0.03275247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01328967,"threshold_uncertainty_score":0.02564067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481311633522015,"score_gpt":0.2580682295223388,"score_spread":0.2432551131871187,"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."}}