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Record W4316465883 · doi:10.5114/dr.2022.123986

Late onset non-familiar acrokeratosis verruciformis of Hopf

2022· article· en· W4316465883 on OpenAlexaboutno aff
Michelle Alcocer-Salas, Mary Jose Santiago-Benitez, José Maria Zepeda-Torres

Bibliographic record

VenueDermatology Review · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsnot available
Fundersnot available
KeywordsDermatologyMedicine

Abstract

fetched live from OpenAlex

Introduction: Hopf's verruciform acrokeratosis is a genodermatosis characterized by keratotic lesions on the dorsa of the hands and feet.It usually develops during childhood but can occasionally develop at later ages, even in the fifth decade.Case report: We present the case of a 34-year-old man with phototype IV, who presented with cutaneous lesions that affected the forearms and hands on the dorsal surface, with a tendency to symmetry, consisting of multiple skin-coloured keratotic papules and erythematous lesions, of different sizes, some with a tendency to converge, rough surface with well-defined edges.The lesions were characterized by a chronic evolution.Conclusions: Because of its low prevalence, there are still no treatment guidelines, however topical or oral retinoid treatment, as well as laser and cryotherapy, are useful.The disease is prone to recurrence.

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: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.017
GPT teacher head0.305
Teacher spread0.288 · 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
Published2022
Admission routes1
Has abstractyes

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