Case presentation: Acute genital ulceration in a 15-year-old girl
Bibliographic record
Abstract
A previously healthy 15-year-old female presented to the emergency department with 6 days of daily fevers, and 72 hours of non-bloody diarrhea that had self-resolved. In addition, she complained of nausea and a headache. Notably, in the last day, she had developed labial swelling, perianal pruritus, and vaginal burning. On history, her last menstrual period was 1 week ago, and she was not sexually active. It was noted that she had consumed Kinder-Surprise eggs in the last week, which had been recently recalled for Salmonella contamination. Pelvic exam initially showed multiple hemorrhagic vesicles involving the labia minora (Figure 1A). On day one of admission, she developed two symmetric, well-delimited ulcers at the 5 o’clock and 7 o’clock positions on the labia minora, each 12 mm × 5 mm in size (Figure 1B). The remainder of her physical examination was normal. Laboratory investigations revealed a C-reactive protein (CRP) of 16.4 mg/L (normal ≤ 10.0 mg/L). Urinalysis was 2+ positive for blood, and 3+ positive for protein. The platelet and coagulation profiles were normal. Blood cultures were positive for Gram-negative bacilli. By the second day of admission, she had dysuria requiring catheterizing. Further diagnostic tests revealed the cause of her painful vulvar ulcers.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".