Bibliographic record
Abstract
Thymoma is a tumor that arises from cells of the thymus, an organ present in all mammals, responsible for the maturation of T lymphocytes and that regresses in size throughout life, until in adulthood it is gradually replaced by adipose tissue. These tumors are more common in elderly animals and the clinical signs associated with this type of neoplasia are often non-specific until they reach large proportions. A preliminary diagnosis of thymoma is often made based on the location of the tumor and aspiration cytology. Compared to other types of tumor that can occur in this region, thymomas usually have a good prognosis with treatment. This article reports the case of a 10-year-old Labrador Retriever dog, diagnosed with thymoma of epithelial origin, who was treated as a thymectomy through intercostal thoracotomy with rib resection. Thymoma was identified through imaging exams such as chest radiography and computed tomography, by aspiration cytology and a diagnosis was confirmed through histopathological examination. The patient had a favorable evolution in the postoperative period and until now, she is in excellent general condition.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".