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Record W2911732423 · doi:10.1111/cup.13437

Bowen disease with invasive mucin‐secreting sweat gland differentiation: Report of a case and review of the literature

2019· review· en· W2911732423 on OpenAlexaff
Ryan DeCoste, Phillip Moss, Robert G. Boutilier, Noreen M. Walsh

Bibliographic record

VenueJournal of Cutaneous Pathology · 2019
Typereview
Languageen
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsNova Scotia Health AuthorityDalhousie University
FundersMinisterio de Economía y Competitividad
KeywordsSweat glandPathologyMucinExtant taxonSebaceous glandPhenotypeAdenocarcinomaDiseaseMedicineBiologyDermatologySWEATCancerInternal medicineEvolutionary biology

Abstract

fetched live from OpenAlex

Bowen disease (BD) with divergent adnexal differentiation is a rare composite cutaneous tumor featuring different phenotypic elements. Sebaceous, poroid and trichilemmal invasive components have been described in this setting and very infrequent reports of mucinous glandular differentiation are extant. Clinically, these tumors are not sufficiently distinctive to enable recognition without histopathological evaluation. From a microscopic perspective, care must be taken to exclude a collision tumor as well as other combined cutaneous neoplasms featuring squamous and glandular differentiation. Direct continuity between the two epithelial phenotypes helps to establish the correct diagnosis and generates interesting speculation about the pathogenesis of these and other epithelial skin tumors. We describe a case of BD in continuity with an invasive adenocarcinoma exhibiting mucinous sweat gland differentiation on the face of an elderly man. Details of the case are outlined with the objective of adding to a scant literature on this topic.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Review · Consensus signal: Review
Teacher disagreement score0.142
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.317
Teacher spread0.295 · 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 teacher head, 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

Citations3
Published2019
Admission routes1
Has abstractyes

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