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Record W4241410254 · doi:10.1002/0471463736.tnmp31

Vulvar Cancer

2003· other· en· W4241410254 on OpenAlexaff
John L. Benedet, Thomas Ehlen

Bibliographic record

VenueTNM Online · 2003
Typeother
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsVulvar cancerVulvaMedicineDiseaseMalignancyConcomitantLife expectancyCancerPopulationStage (stratigraphy)Presentation (obstetrics)GynecologyDermatologySurgeryPathologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Abstract Vulvar cancer is an uncommon malignancy accounting for approximately 4–5% of all gynecologic cancers. It used to be thought of as predominantly a disease of the elderly, although reports of young, reproductive‐age‐group women with this disease increasingly appear in the literature. The external location of the vulva should prompt early presentation, but traditionally significant delays in diagnosis have been associated with this cancer. The past decade has seen a better understanding of the prognostic factors for vulvar cancer, which, in turn, has led to a more individualized approach to therapy. This has led to less aggressive surgery in the earlier stage of the disease with better cosmetic and functional results. It might be expected that, with the increasing life expectancy in many countries and the concomitant aging of the population, an increase in the number of cases being diagnosed would occur in the future.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.878
Threshold uncertainty score0.407

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.1220.022

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 head0.049
GPT teacher head0.412
Teacher spread0.363 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2003
Admission routes1
Has abstractyes

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