Epstein-Barr Virus–Associated Lymphoepithelioma-like Gastric Carcinoma
Bibliographic record
Abstract
Abstract This article provides an overview of the pathology of Epstein-Barr virus (EBV)–associated lymphoepithelioma-like gastric carcinoma, highlighting its unique morphology and clinical features. Lymphoepithelioma-like gastric carcinoma is a rare neoplasm of the stomach with a better prognosis than conventional adenocarcinoma. Most lymphoepithelioma-like gastric carcinomas are associated with EBV infection, while a subset is associated with microsatellite instability. Even though there is a very strong association with EBV, its exact role in carcinogenesis still remains to be elucidated in those cancers that harbor EBV. Distinctive histology and demonstration of EBV using in situ hybridization, polymerase chain reaction, or Southern blotting and immunohistochemistry for the DNA mismatch repair genes or polymerase chain reaction analysis of microsatellite loci to assess microsatellite instability helps to make the diagnosis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".