Nefroblastom u kuje - prikaz slučaja.
Bibliographic record
Abstract
A nine year old, intact female German shepherd dog was presented with the complaint of melena. The dog was anorectic, lethargic and cachectic. Physical examination and radiography revealed the presence of a large mid-dorsal intra-abdominal mass. Laboratory findings and diagnostic ultrasound marked the suspicious involvement of the right kidney. Renal neoplasm was suspected and an exploratory celiotomy was done. The mass was spread over the sublumbar region and was found to have originated from the right kidney. Excision of the tumor mass, along with unilateral nephrectomy, was done and the surgical recovery was uneventful. Histopathological examination led to the diagnosis of stage ΙΙΙ renal nephroblastoma with unfavorable histology. The potential clinical and pathological manifestations of canine renal nephroblastoma in an adult dog have been documented.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".