Teratoma ovariano maligno em cadela gestante
Bibliographic record
Abstract
A Labrador female dog, two years old, was presented at the University Veterinary Hospital of the Piaui Federal University with bloody diarrhea, anorexia, and vomit after parturition. At abdominal palpation a large round mass with firm consistence was verified, which was confirmed by an ultrasonographic exam. In the exploratory laparotomy, a mass with approximately 20 cm of the diameter in the left ovary was seen. The mass was involved by omentum, which had innumerable nodulations. The tumor, omentum, right ovary, and uterus were removed. In transversal cut surface, there were cysts with grayish semi-solid material, hair, fibrous and osseous tissue. After surgical procedure, the animal died. Histologically, several types of tissues and cells were observed. The diagnostic was malignant ovarian teratome due to metastasis. The case was considered interesting because the dog became pregnant and delivered normally even with a large tumor in the left ovary. The objective of this report is to relate a rare case of ovarian malignant teratome in a female dog.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".