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Record W78493766 · doi:10.1177/229255030701500402

An uncommon folliculosebaceous cystic hamartoma on the lower extremity

2007· article· en· W78493766 on OpenAlexvenueno aff
İlteriş Murat Emsen, Ayten Livaoğlu

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2007
Typearticle
Languageen
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHamartomaPathologyDifferential diagnosisCD34NeurofibromaDermatologyNeurofibromatosis

Abstract

fetched live from OpenAlex

BACKGROUND: Folliculosebaceous cystic hamartomas (FSCH) are a recently recognized cutaneous hamartoma comprised of follicular, sebaceous and mesenchymal elements. Only nine cases have been previously reported. The authors present a case of FSCH on the lower extremity in addition to a literature review. OBJECTIVE: To further characterize the clinical, histological and immunohistological features of FSCH. METHODS: The clinical, histological and immunohistological features of FSCH were evaluated and the literature reviewed. RESULTS: This lesion uncommonly presents as exophytic papules or nodules on the leg, and most commonly presents on the central part of the face. Clinical differential diagnoses included nevus, neurofibroma and adnexal tumour. The diagnostic microscopic features of infundibular cystic structures with attached sebaceous glands and characteristic stroma were present in all lesions. Many of the stromal spindle cells were CD34-positive. CONCLUSION: The FSCH is a recently recognized hamartoma comprised of follicular, sebaceous and mesenchymal elements. Although reported only rarely, its incidence is likely much higher. In the present patient, the FSCH was located in femoral region, which is very rare.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.024
GPT teacher head0.258
Teacher spread0.234 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2007
Admission routes1
Has abstractyes

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