Hamartomas, papillomas and adenocarcinomas of the sinonasal tract and nasopharynx
Bibliographic record
Abstract
Lesions of the sinonasal tract are uncommon, with most of the specimens seen by surgical pathologists consisting primarily of fragments of inflamed sinonasal mucosa or inflammatory polyps from patients with chronic rhinosinusitis, and the occasional squamous cell carcinoma. Other lesions such as hamartomas, various types of Schneiderian papillomas and adenocarcinomas are seen only rarely by most histopathologists; therefore a biopsy or surgical resection specimen from a patient with one of these processes may represent a diagnostic challenge. The aim of this review is to present the pathological features of a group of infrequent epithelial surface and glandular lesions of the sinonasal tract which includes respiratory epithelial adenomatoid hamartoma, glandular (seromucinous) hamartoma, exophytic papilloma, inverted papilloma, cylindrical cell (oncocytic) papilloma, low-grade sinonasal adenocarcinoma and intestinal-type sinonasal adenocarcinoma.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| 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) | 0.003 | 0.002 |
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".