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Record W3025799170

Cronkhite-Canada 증후군 환자 1예에서 발생한 미만성탈모증의 임상, 병리적 특징

2019· article· ko· W3025799170 on OpenAlexaboutno aff
성기현, 손우리, 박명진, 박민기, 홍승필, 김명화, 박병철

Bibliographic record

Venue대한피부과학회지 · 2019
Typearticle
Languageko
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsnot available
Fundersnot available
KeywordsHair lossScalpMedicineBiopsyDermatologyColonoscopyPathologicalDermatoscopySkin biopsySurgeryPathologyInternal medicineColorectal cancerCancer
DOInot available

Abstract

fetched live from OpenAlex

Although hair loss in Cronkhite-Canada syndrome (CCS) developed frequently, its exact mechanism has not been elucidated. Thus, we attempted to investigate the histopathologic features of hair loss with scalp biopsy in one case of CSS. The patient complained of persistent diarrhea and diffuse hair loss of the scalp 1 month prior to the hospital visit. CCS has been already diagnosed through colonoscopy and medical examination. Scalp biopsy was performed to evaluate hair loss of the patient, and pathologic examination showed increased telogen hairs (anagen to telogen is 7:8) without specific dermal inflammation and miniaturization of hair follicles. The patient was treated with topical and systemic steroids, and hair loss has almost completely recovered in 5 months. In this case, we investigated the clinical and pathological features of hair loss through scalp biopsy in one case of CCS and reported them with a review of the literature. (Korean J Dermatol 2019;57(7):391∼394)

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)0.001
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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.250
Teacher spread0.241 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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