Geographical cluster of renal hamartomas in wild urban white-tailed jackrabbits ( <i>Lepus townsendii</i> )
Bibliographic record
Abstract
), we autopsied 130 individuals that died near roadways in Calgary, Alberta, Canada. Renal hamartomas were present in 8 of 130 hares (6.2%; 95% confidence interval: 3.2%-11.7%). Most were unilateral (7/8); one case had bilateral lesions. Hamartomas are benign, tumor-like lesions comprised of normal tissue elements in abnormal amounts and arrangements. Macroscopically, hamartomas were white, tan, or pink-red, well-circumscribed, singular or multilobular, expansile nodules in the cortex or corticomedullary junction. Histologically, renal hamartomas consisted of well-demarcated mature stromal tissue with fibrous tissue and occasionally, adipocyte differentiation. These results represent a unique temporal and geographical cluster of a renal anomaly in an urban wildlife population. Renal hamartomas were not identified in other large studies of diseases in free-ranging leporids including hares. Contributing factors to this cluster remain unknown.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".