Epidemiologia do mastocitoma em cães em uma região do Mato Grosso do Sul
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cutaneous mastocytoma is a neoplasm often seen in dogs. This disease is characterized by abnormal and excessive growth of mast cells. This study carried out the data collection of all biopsy files made in dogs in the clinical pathology laboratory of the University Center of Grande Dourados and Universidade Anhaguera Uniderp between January 2015 and January 2016. Twenty-six confirmed cases of mastocytoma From the information collected from the reports, predisposing factors such as race, sex, age and site of neoplastic lesions were evaluated. Among the selected animals, 46.2% (12) were females and 53.8% (14) males. Regarding the racial factor, 34.6% (9) of the animals had no defined race, 30.8% (8) were of the Boxer breed, 11.5% (3) were Pitbull breed, 7.7% ) Of the Labrador breed, 7.7% (2) were of the Dachshund breed, 3.8% (1) was Poodle breed and 3.8% (1) of the Shnauzer breed. It was concluded in this study that the majority of the dogs affected by this neoplasia were undefined. When considered the breed it was observed that Boxer dogs are the most predisposed to this neoplasia. Animals considered elderly, aged between 9 and 13 years are the most affected. The canine mastocytoma showed no predisposition to the disease as to sex, and it was possible to verify the higher frequency in relation to the location of the nodules in the part of the trunk and limbs.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it