Hiding in plain sight: A case of fever, rash, and jaundice
Bibliographic record
Abstract
A 25-year-old man presented to the emergency department with a 3-day history of fever, anorexia, jaundice, and a generalized skin eruption. His liver function tests showed marked cholestatic and cytolytic abnormalities without liver insufficiency. A liver biopsy was performed, and morphology with routine stains was considered non-specific. Because of the dermatological findings, the non-specific biopsy morphology, and the absence of an identified infectious etiology, a diagnosis of Kawasaki disease was presumed. However, additional colorations on liver biopsy with Warthin-Starry stain revealed multiple thin and coiled microorganisms compatible with spirochetes. His serology for leptospirosis was found to be positive for IgM, supporting the diagnosis of acute leptospirosis with liver involvement. Our case illustrates the diagnostic challenge of leptospirosis and highlights the utility of conventional laboratory tests to confirm the diagnosis. Exceptionally, Warthin-Starry stain allowed the identification of leptospires in liver biopsy and confirmed liver involvement of systemic leptospirosis.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 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) | 0.002 | 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".