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Record W3037060749 · doi:10.1177/2050313x20935713

Subcutaneous nodules in children: Don’t forget deep granuloma annulare: A Case Report

2020· article· en· W3037060749 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

VenueSAGE Open Medical Case Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsCégep de l'Abitibi TémiscamingueUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineGranuloma annulareNodule (geology)Rheumatoid noduleScalpDermatologyAsymptomaticForeheadGranulomaPathologySurgeryDisease

Abstract

fetched live from OpenAlex

Deep granuloma annulare is an uncommon benign granulomatous skin disorder that presents almost exclusively in the paediatric population. It presents as an asymptomatic subcutaneous nodule with normal overlying skin on distal extremities, the scalp, or the forehead. It shows a deep palisading granuloma with areas of central necrobiosis on histologic examination. Due to its self-limited nature, clinical follow-up is recommended over surgical interventions. We present a case of cephalic deep granuloma annulare in a healthy 5-year-old girl who remains free of recurrence after surgical excision at the 6-month follow-up. Our case emphasizes the importance of differentiating the lesion from its clinical and histopathological mimickers, such as the rheumatoid nodule. The awareness of this entity is important to avoid the overinvestigation and overtreatment of a benign and self-limited disease.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.275
Teacher spread0.264 · 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