Necrotic ulcers on the abdomen
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A 50-year-old woman is being evaluated for a 2-month history of painful ulcerations on the lower abdomen associated with loss of appetite, night sweats, weight loss, and fever. Physical examination demonstrates a large painful, necrotic ulcer with elevated erythematous and scalloped borders on the lower abdomen and a few smaller adjacent ulcers in various stages of healing (Fig 1). Bacterial cultures of the ulcer are negative, and the ulcer is unresponsive to broad-spectrum antibiotics. A biopsy specimen is obtained (Fig 2), showing ulceration and a patchy dermal infiltrate of medium pleomorphic lymphoid cells (Fig 2A and 2B). Immunohistochemistry staining is performed for CD3 (Fig 2C), CD56 (Fig 2D), perforin (Fig 2E), and EBER by in situ hybridization (Fig 2F).Fig 2View Large Image Figure ViewerDownload Hi-res image Download (PPT) What is the most likely diagnosis?A.Pyoderma gangrenosumB.Ecthyma gangrenosumC.Polyarteritis nodosaD.LymphomaE.Calciphylaxis Click here to view disclosures, take the quiz, and claim CME credit. The authors have no conflicts of interest to declare.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it