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Record W2884078688 · doi:10.1097/rlu.0000000000002216

18F-FDG PET/CT With Diffusely High FDG Uptake Throughout Subcutaneous Adipose Tissues

2018· article· en· W2884078688 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Nuclear Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMedicineAdipose tissueNuclear medicineSubcutaneous fatPositron emission tomographySubcutaneous tissuePositron Emission Tomography-Computed TomographyRadiologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

A 9-year-old girl presented with facial rash, angioedema, fevers, and night sweats. She was diagnosed with chronic active Epstein-Barr virus infection and placed on chronic steroid treatment. F-FDG PET/CT performed 3 weeks following presentation revealed diffuse subcutaneous soft tissue FDG activation throughout the entire body, with likely localization to white subcutaneous adipose tissue. This highly unusual appearance may have been due to the patient being treated with corticosteroids at the time of the scan.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.350
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it