Alveolar Echinococcus in a 70-year-old man in Ontario
Bibliographic record
Abstract
Background: Alveolar echinococcus, caused by the tapeworm Echinococcus multilocularis, mimics hepatic malignancy, and carries a mortality rate exceeding 90% in untreated patients. Methods: Diagnosis of E. multilocularis infection is established through clinical, radiographic, and microbiological assessments. Currently available laboratory diagnostics in Ontario are fresh tissue microscopy and histopathology. However, genus-specific Echinococcus enzyme-linked immunosorbent assay (ELISA) serology as well as confirmatory testing with species-specific serology and E. multilocularis polymerase chain reaction (PCR) can be obtained from external reference laboratories. Results: The article presents the first case report of human alveolar echinococcus in Ontario. We outline the multidisciplinary approach of diagnosis as well as surgical and medical management of E. multilocularis infection in a 70-year-old man in Ontario. We describe prior literature of alveolar echinococcus in Canadian settings and highlight its emerging nature with recent human case clusters in the Prairies and reports of E. multilocularis in recent veterinary literature in Ontario. Conclusion: E. multilocularis is an emerging parasitic infection in Canadian settings including Ontario. Clinicians should be aware of the emergence of this invasive infection, especially in those with close contact to canids.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".