Eosinophilic Pneumonia in a Traveller Returning from Mexico
Bibliographic record
Abstract
A previously healthy 45-year-old Korean-born man presented with pleuritic chest pain and a dry cough in February 2005.His symptoms began one week after returning home to Toronto, Ontario, following a trip to northern Mexico, where he had spent several days in a large city attending meetings.He denied having fever, rash or arthralgia.His chest pain and cough were initially managed symptomatically with an analgesic and a cough supressant.However, the symptoms persisted and after one week, he was referred to a respirologist for further investigation and management.His physical examination was normal.His complete blood count revealed marked eosinophilia (6.0×10 9 /L) and his chest radiograph documented a right lung infiltrate.A computed tomography scan confirmed consolidation in the right upper lobe and revealed centrilobular nodules in a tree-in-bud pattern, right hilar and mediastinal lymphadenopathy and small nodules (less than 0.5 mm) scattered throughout both lungs.He underwent bronchoscopic alveolar lavage and transbronchial biopsy.Cytology of the bronchoscopic alveolar lavage fluid revealed marked eosinophilia.Gram stain and calcofluor white (fungal) stain were negative.Histopathology of the biopsy documented nonspecific eosinophilic bronchitis.There were no identifiable organisms with hematoxylin and eosin, periodic acid-Schiff or Grocott-Gomori methenamine-silver stains of the tissue.A microbiological test was performed.What was the diagnosis and how was it made?
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".