Bibliographic record
Abstract
Lichen sclerosus (LS) is a chronic dermatitis predominantly found in the anogenital area. It can be found in patients of any age group, sex, or race, but is most commonly present in Caucasian peri- or postmenopausal women. Although the etiology of LS remains uncertain, an autoimmune process is believed to underlie this condition. With many cases going unreported, its incidence is still unknown. There is no cure for LS, but treatment offers control of the condition. They are three reasons for treating LS: relief of symptoms and discomfort; prevention of any or further anatomical changes; and a theoretical prevention of malignant transformation. Although many treatments have been suggested to treat LS over the years, only potent or ultra-potent corticosteroids remain as the treatment of choice. After initial therapy, some patients might only use corticosteroids as needed, while others may require a twice-weekly maintenance therapy. There is no place for surgery in uncomplicated LS. Surgery should be limited exclusively to patients with malignancy and to correct scarring secondary to the disease. Lichen sclerosus is associated with a 4-6% risk of squamous cell carcinoma, making long-term follow-up essential in these patients.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".