{"id":"W1997527319","doi":"10.1007/s00247-010-1925-y","title":"Brown adipose tissue 18F-FDG uptake in pediatric PET/CT imaging","year":2010,"lang":"en","type":"article","venue":"Pediatric Radiology","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Brown adipose tissue; Positron emission tomography; Medicine; Neuroradiology; Nuclear medicine; Radiology; Deoxyglucose; Adipose tissue; PET-CT; Internal medicine; Neurology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006514106,0.0003922357,0.0008558731,0.0008885873,0.00009928554,0.00001938463,0.000323609,0.00006709965,0.0008860027],"category_scores_gemma":[0.0006695524,0.0003628526,0.0001504513,0.0009076154,0.0001218784,0.0001680994,0.00009570511,0.001238485,0.000831636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004793926,"about_ca_system_score_gemma":0.0003580158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001873089,"about_ca_topic_score_gemma":0.00008224742,"domain_scores_codex":[0.9971662,0.000119188,0.0007505363,0.0007343568,0.0002675904,0.0009621183],"domain_scores_gemma":[0.9982891,0.0002542109,0.0002154825,0.0007011329,0.0001014384,0.000438609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001278713,0.0003384034,0.9391882,0.0001733948,0.0000397635,0.0109724,0.0002612535,0.000007297188,0.003632182,0.001237933,0.02185814,0.02216316],"study_design_scores_gemma":[0.004084661,0.0002129673,0.760549,0.000005025394,0.001020362,0.02517826,0.0000426187,0.0001380699,0.0002845477,0.0005384472,0.2073285,0.0006175614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722679,0.01504567,0.00004658539,0.001179722,0.002838654,0.0005758608,0.00001224328,0.0001832676,0.007850142],"genre_scores_gemma":[0.9814375,0.004159268,0.002253752,0.0006801871,0.008363326,0.00005929571,0.00005964468,0.00007932481,0.002907687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1854704,"threshold_uncertainty_score":0.9999464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009788830242697062,"score_gpt":0.2697446053233283,"score_spread":0.2599557750806313,"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."}}