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Review of linear epidermal nevus with oral mucosal involvement – series of five new cases

2007· article· en· W2136240904 on OpenAlexaff
Christel Haberland‐Carrodeguas, C P Allen, J Løvås, John Hicks, CM Flaitz, Román Carlos, Samuel Stal

Bibliographic record

VenueOral Diseases · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and rare skin diseases.
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDermatologyMedicineSeries (stratigraphy)Mouth mucosaPathologyBiology

Abstract

fetched live from OpenAlex

INTRODUCTION: Linear epidermal nevi are sporadic hamartomatous alterations of the epidermis and superficial dermis that clinically appear as verrucous papules and plaques distributed in a linear pattern following Blaschko's lines. Their extent varies from unilateral involvement (nevus unius lateris) to extensive bilateral involvement (ichthyosis hystrix). Oral mucosal lesions have rarely been described. AIMS: We review the literature, focusing on the rare intraoral manifestations of linear epidermal nevus. CASE SERIES: We present a series of five new cases with oral mucosal involvement. Four cases had associated cutaneous lesions and one case had oral lesions exclusively. Histopathologic evaluation of lesional tissue in four cases showed hyperkeratosis, acanthosis, epithelial hyperplasia, and papillomatosis. Dental abnormalities, consisting of enamel hypoplasia and congenitally missing teeth, were noted in one patient adjacent to the oral lesions.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.015
GPT teacher head0.276
Teacher spread0.261 · 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

Citations20
Published2007
Admission routes1
Has abstractyes

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