{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005816302,0.0003670429,0.001768459,0.001631335,0.00008418588,0.0000318862,0.0001972298,0.0002257791,0.00001143604],"category_scores_gemma":[0.0005754732,0.0003822771,0.0003269095,0.001429994,0.00007709321,0.00005048942,0.0002986348,0.001149937,0.0000121001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005013735,"about_ca_system_score_gemma":0.0004884113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001485781,"about_ca_topic_score_gemma":8.704171e-7,"domain_scores_codex":[0.9977939,0.0001685305,0.0006946066,0.0006355205,0.0002720682,0.0004353618],"domain_scores_gemma":[0.998653,0.0004336495,0.0002382558,0.0004959233,0.00002661031,0.0001525576],"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":[0.000005259536,0.00005494955,0.4818359,0.007919971,0.00001821037,0.000290484,0.00004923866,0.00001261378,7.778206e-10,0.00005880991,0.02092317,0.4888314],"study_design_scores_gemma":[0.0004305914,0.00001553832,0.004485477,0.0001741952,0.001669706,0.000175756,0.0001121265,0.00002707481,8.607443e-10,0.00005348198,0.9925356,0.0003204579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001525096,0.9932035,0.0003935466,0.00004013371,0.001065789,0.001235488,0.00008753903,0.00007618558,0.003882578],"genre_scores_gemma":[0.00001338764,0.9950662,0.002325938,0.0000750425,0.00167391,0.0004056213,0.000233634,0.00009932298,0.0001069836],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9716124,"threshold_uncertainty_score":0.9998629,"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."}}