{"id":"W4286630346","doi":"10.3389/fped.2022.909994","title":"Nuclear Imaging in Pediatric Cardiology: Principles and Applications","year":2022,"lang":"en","type":"review","venue":"Frontiers in Pediatrics","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Nuclear imaging; Positron emission tomography; Myocardial perfusion imaging; Magnetic resonance imaging; Molecular imaging; Nuclear medicine; Single-photon emission computed tomography; Emission computed tomography; Radiology; Cardiac imaging; Medical imaging; Medical physics; Perfusion","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":[0.001083062,0.0009637094,0.001125277,0.00332609,0.0003658629,0.001545084,0.0008670503,0.001501549,0.003456651],"category_scores_gemma":[0.001400802,0.0003034903,0.0005586674,0.002783251,0.0014624,0.002281611,0.0009286056,0.002659921,0.001438915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008198227,"about_ca_system_score_gemma":0.00142513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079012,"about_ca_topic_score_gemma":0.001336817,"domain_scores_codex":[0.9996383,0.00008343675,0.00006391439,0.00005303491,0.0001318947,0.00002946679],"domain_scores_gemma":[0.9988313,0.0007507257,0.0001242034,0.0000299613,0.0002050902,0.00005875584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004397428,0.00005844003,0.0004210548,0.01333542,0.00004751091,0.0005365145,0.0001775445,0.0003952616,0.001036312,0.009386451,0.01984457,0.9547169],"study_design_scores_gemma":[0.00001226681,0.00009070464,0.00153041,0.009012449,0.00006733639,0.007283181,0.0001856382,0.000159759,0.0004859691,0.008037895,0.9730939,0.00004042848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007509628,0.9981714,0.0002168288,0.0004183424,0.0001697823,0.000003691116,0.00000744837,0.000005630953,0.000931784],"genre_scores_gemma":[0.00073399,0.9979924,0.0003841524,0.0002343626,0.0003981604,0.000005110804,0.00001121946,0.000001894263,0.0002387561],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003456651,"threshold_uncertainty_score":0.01156366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430521729488327,"score_gpt":0.291746446149157,"score_spread":0.2674412288542737,"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."}}