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Record W2063946730 · doi:10.1097/pgp.0b013e3181b15010

Malignant Giant Cell Tumor of the Vulva

2009· article· en· W2063946730 on OpenAlexaff
Dina El Demellawy, Reema Saleh, Dean Daya, Salem Alowami

Bibliographic record

VenueInternational Journal of Gynecological Pathology · 2009
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsJuravinski HospitalHamilton Health SciencesBrampton Civic HospitalNOSM UniversityMcMaster University
Fundersnot available
KeywordsVulvaPathologyDifferential diagnosisHistologyGiant cellSoft tissueMedicineBiology

Abstract

fetched live from OpenAlex

Giant cell malignant fibrous histiocytoma or giant cell tumor of the soft parts (GCTSP) is a rare soft tissue tumor. GCTSP has an unpredictable behavior; the majority of the reported cases showed benign histology and those that showed malignant morphologic features were extremely rare. To the best of our knowledge, GCTSP has never been reported to involve the vulva in the English literature. We report the first case of malignant GCTSP of the vulva. Histologic features and the immunoprofile of the tumor and differential diagnosis are discussed in detail. Although extremely rare, consideration of the potential occurrence of GCTSP in the vulva is recommended to avoid a potential diagnostic pitfall.

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)0.002
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
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 head0.017
GPT teacher head0.287
Teacher spread0.269 · 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

Citations6
Published2009
Admission routes1
Has abstractyes

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