Ossificação de fibroma em cão
Bibliographic record
Abstract
Epulis refers to any tumor or similar growth on the gingival tissue and is considered the most frequent of benign oral masses in dogs. Epulis is classified into four types based on histological characteristics: fibromatous, ossifying, acanthomatous and giant cell. The aim of the present study was to present knowledge on benign oral tumors and epulides as well as report a clinical case of ossifying epulis in a male dog (Labrador) aged 25 months. The integrated treatment plan initiated with a diagnostic investigations through hematological, biochemical and serological exams for the study of antibodies for ehrlichiosis, anaplasmosis, dirofilariasis and Lyme disease as well as electrocardiogram and intraoral and thoracic x-rays, followed by the removal of the suspected tumor mass through excisional biopsy. The sample was sent for histopathological analysis for the definitive diagnosis, which confirmed ossifying epulis. In conclusion, surgery was the treatment of choice and only a histopathological analysis can confirm the type of oral neoplasm and prognosis.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".