Leprosy: Challenges in diagnosis
Bibliographic record
Abstract
. It affects the skin and peripheral nerves. Incidence and prevalence are underestimated due to challenges in diagnosis and unfamiliarity with the disease in Canada. Untreated disease can lead to permanent nerve damage with subsequent loss of function. We present a case of Hansen's disease with delay in diagnosis and treatment. A 31-year-old female recent immigrant from the Philippines presented with a 2-year history of a palpable erythematous rash on her face and arms. She had a diagnosis of cryoglobulinemic vasculitis associated with her chronic hepatitis B. A course of topical corticosteroids did not alleviate symptoms. The rash had a waxing and waning pattern that was felt to mirror her antiviral therapy. Although hepatitis B cryoglobulinemia has been reported in the remote literature, further studies have failed to illustrate that it is a significant cause of cryoglobulinemia. Retrospective analysis of the case identified that anchoring to the initial diagnosis was the reason for delay in diagnosis and treatment.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".