Sweet’s syndrome in a patient with Wegener’s granulomatosis and ESRD: Figure 1
Bibliographic record
Abstract
A female patient in her late 60s with end stage renal disease secondary to Wegener's granulomatosis presented with a 2-day history of fever, nausea, somnolence and purple coloured exudative plaques on her forehead and index finger. Herpes zoster was the initial diagnosis and acyclovir was prescribed. Twenty-four hours later, her level of consciousness (LOC) had declined to a Glascow coma scale of 10/15 and she started exhibiting myoclonic jerks. The lesions progressed to both sides of the face and acyclovir was discontinued as it was felt to be contributing to the myoclonic jerks. CT scan of the brain and lumbar puncture revealed no abnormalities to explain diminished LOC. Septic screen was negative, and an EEG showed no ictal activity. Skin biopsy revealed neutrophilic dermal infiltrates, leading to the diagnosis of Sweet's syndrome and prednisone (1 mg/kg) was initiated. The patient's condition improved over 12 h and she was discharged 5 days later. She died 6 weeks later from her cardiac disease.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".