Congenital Ocular Abnormalities in Free-Ranging White-Tailed Deer
Bibliographic record
Abstract
Congenital ocular abnormalities in cervids have been previously reported as individual cases from various regions of the United States and include microphthalmia, anophthalmia, congenital cataracts, dermoids, and colobomata. A common underlying cause for these abnormalities, such as nutritional deficiencies, environmental toxin exposures, or genetic mutations, has not been established. This retrospective study summarized and compared cases of suspected congenital ocular abnormalities in free-ranging white-tailed deer ( Odocoileus virginianus) submitted to the Southeastern Cooperative Wildlife Disease Study (SCWDS) in Athens, Georgia, to the preexisting literature. Of 3645 accessions of white-tailed deer submitted to SCWDS, 15 qualifying case records were found. An additional 15 cases were reported previously in the literature. Conditions described in SCWDS cases included microphthalmia (8/15), congenital cataracts (3/15), anophthalmia (2/15), colobomata (1/15), anterior segment dysgenesis (1/15), ectopic lacrimal gland tissue (1/15), and congenital blindness with corneal opacity (1/15). Most (11/15; 73%) of the SCWDS cases were male fawns with an average age of 4 months at presentation, consistent with previously described cases. Most animals had bilateral abnormalities with few extraocular congenital abnormalities, also consistent with existing reports. Cases were variably tested for various infectious agents at the time of submission; 2 cases were seropositive for bluetongue virus. Spatiotemporal clustering of cases was not evident. This study provided a concise and systematic summary of known existing cases of congenital ocular defects in fawns but did not identify a cause.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".