Supernumerary Kidney with Ipsilateral Cryptorchidism in a Cat
Bibliographic record
Abstract
An 8 wk old male domestic longhair was presented with an abdominal mass and cryptorchidism. A 2 cm mass was palpable in the midabdomen. Ultrasonography confirmed a complex, septated, cystic mass adjacent and caudal to the right kidney. A normally appearing left kidney was present. Pathologic examination of the excised abdominal mass revealed it to be a kidney with an attached, normal caliber ureter. At surgery, this kidney was separate from the parenchyma of the second, cranial, right kidney. Subsequently, the second right kidney became hydronephrotic and was removed together with the cryptorchid testis and an apparently hypoplastic ureter. This is the first report of a supernumerary kidney in a cat, adding it to the differential diagnoses of abdominal masses.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".