{"id":"W3110204771","doi":"10.1016/j.jcmg.2020.09.026","title":"Regional Distribution of Fluorine-18-Flubrobenguane and Carbon-11-Hydroxyephedrine for Cardiac PET Imaging of Sympathetic Innervation","year":2020,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; University of Ottawa; Lantheus Medical Imaging; GE Healthcare; Heart and Stroke Foundation of Canada","keywords":"Distribution (mathematics); Pet imaging; Sympathetic nervous system; Medicine; Sympathetic innervation; Cardiology; Internal medicine; Positron emission tomography; Nuclear medicine; Mathematics; Blood pressure; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007126197,0.0002978721,0.001108865,0.0001258446,0.00006987692,0.00002635705,0.00009754855,0.00004225355,0.000003407419],"category_scores_gemma":[0.0008898808,0.0003097802,0.001173625,0.0003893899,0.0001899204,0.000142885,0.0001130169,0.000177792,8.266492e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008799761,"about_ca_system_score_gemma":0.0001268827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003092567,"about_ca_topic_score_gemma":5.78318e-7,"domain_scores_codex":[0.9977968,0.0000992019,0.0005865076,0.000527151,0.0006302168,0.0003600726],"domain_scores_gemma":[0.9982046,0.000226001,0.0001952572,0.0005673866,0.0005972351,0.000209517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003046938,0.0002140687,0.9022438,0.003729404,0.002827976,0.0002135492,0.00141557,0.002659761,0.04015552,0.000964202,0.005879242,0.03939224],"study_design_scores_gemma":[0.02521268,0.0005322436,0.5341787,0.002926351,0.01952448,0.001467184,0.003886577,0.1914768,0.12004,0.0008414358,0.09718806,0.002725502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513724,0.0251538,0.01765849,0.003480402,0.0004168453,0.00114133,0.000241527,0.0001493975,0.0003858429],"genre_scores_gemma":[0.9966063,0.0003602922,0.001652447,0.0002193667,0.0005409344,0.00004800344,0.0004995923,0.00006280259,0.00001018743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3680651,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628686277362174,"score_gpt":0.2435277304967125,"score_spread":0.2272408677230908,"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."}}