{"id":"W2795863748","doi":"10.1016/j.jacc.2018.01.062","title":"PET Assessment of Epicardial Intimal Disease and Microvascular Dysfunction in Cardiac Allograft Vasculopathy","year":2018,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network; University of Ottawa","funders":"","keywords":"Medicine; Fractional flow reserve; Cardiology; Coronary flow reserve; Intravascular ultrasound; Cardiac allograft vasculopathy; Internal medicine; Coronary artery disease; Receiver operating characteristic; Cardiac PET; Transplantation; Angiography; Positron emission tomography; Heart transplantation; Vascular resistance; Hemodynamics; Radiology; Coronary angiography; Perfusion; 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":[0.000976229,0.0005209858,0.0004377776,0.001199234,0.0002082376,0.001243887,0.0004066479,0.001149275,0.001460071],"category_scores_gemma":[0.001960417,0.0003736586,0.0003388447,0.0006611389,0.0003101004,0.0008073466,0.0003115486,0.0005629401,0.0002494786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003427297,"about_ca_system_score_gemma":0.0002267247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030696,"about_ca_topic_score_gemma":0.001740992,"domain_scores_codex":[0.9995871,0.0001923787,0.000037374,0.00004893557,0.00005535843,0.00007869228],"domain_scores_gemma":[0.9992861,0.0002962642,0.0001516089,0.00005006348,0.0001118328,0.0001041287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001641241,0.0002668944,0.9756026,0.0001015053,0.0001789446,0.001853341,0.00007452427,0.000359229,0.003704292,0.0001832693,0.0002909973,0.01574308],"study_design_scores_gemma":[0.00007577654,0.0008382137,0.9778777,0.0001036234,0.0003977395,0.01167821,0.000263558,0.004092792,0.002903023,0.0004884183,0.00125446,0.00002645783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878852,0.006102873,0.0006315015,0.0002729077,0.00002884516,0.00002498665,0.0001864165,0.00001340203,0.004853916],"genre_scores_gemma":[0.99779,0.001070856,0.000464354,0.0000598314,0.0000632007,0.00001252239,0.0001295111,0.000002425241,0.000407264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001460071,"threshold_uncertainty_score":0.005162895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009798533120002013,"score_gpt":0.3011512412115758,"score_spread":0.2913527080915738,"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."}}