Bibliographic record
Abstract
Eosinophilic Fasciitis is a rare rheumatologic disease usually characterized by erythema and limbs’ pain, cutaneous induration and peripheral eosinophilia. However, it is important to consider Eosinophilic Fasciitis in differential diagnosis of others scleroderma-like syndromes. The authors present a case of a 52-year-old woman who presented to our hospital with a four months evolution of limb and trunk diffuse symmetrical cutaneous induration, thickening of the skin without joint involvement and no history of Raynaud's phenomenon. On physical examination, she had a grade 3 skin thickening in the involved segments. Laboratory studies revealed no peripheral eosinophilia. The biopsy showed fibrotic involvement of muscle and fascia, with a few inflammatory infiltrations of lymphocytes. She started prednisolone 1 mg/kg/day, with partial regression of cutaneous injuries. As Eosinophilic Fasciitis is so rare, its recognition can be difficult, especially when the patient is observed at a late stage where the peripheral eosinophilia and inflammatory infiltration in the histology are usually no longer present. A clinical history and a detailed physical examination, especially with the presence of orange peel skin, are the fundamental clues for the diagnosis. J Med Cases. 2011;2(1):34-36 doi: https://doi.org/10.4021/jmc118w
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".