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Record W4408551063 · doi:10.1111/pde.15854

Congenital Erosive and Scarring Eruption (<scp>CEASE</scp>): A Report of Two Cases and Review of the Literature on Congenital Erosive and Vesicular Dermatosis

2025· review· en· W4408551063 on OpenAlexaff
Lindy Moxham, Sarah Felton, Joseph M. Lam

Bibliographic record

VenuePediatric Dermatology · 2025
Typereview
Languageen
FieldHealth Professions
TopicNeonatal skin health care
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineDermatologyMilia

Abstract

fetched live from OpenAlex

Congenital erosive and vesicular dermatosis (CEVD) is a rare condition that typically presents at birth with erosions and vesicles that heal with distinctive reticulate and supple scarring. We report two cases of CEVD in term infants, both of which exhibited unique features. The first patient presented with linear erosions that healed without vesiculation, and the second with stellate scarring and milia. As there was no clear history of vesiculation in both our patients, we suggest the term congenital erosive and scarring eruption (CEASE) may better reflect this subset of CEVD.

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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.393
Teacher spread0.362 · 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
GenreReview

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

Citations1
Published2025
Admission routes1
Has abstractyes

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