Case report: Peripheral iridectomy and sclerectomy for uveitic Glaucoma in a labrador retriever
Bibliographic record
Abstract
A 4-year-old male Labrador retriever dog presented with a history of conjunctivitis OU and mild buphthalmos OS for one week. Ophthalmic examination revealed corneal edema, conjunctivitis, iritis, aqueous flare, posterior synechia, fibrin on the anterior lens capsule, increased intraocular pressure (IOP =30 mmHg OD; IOP = 48 mmHg OS), weak positive menace response, brisk positive dazzle reflex and negative pupillary light reflex OU. The iridocorneal angle could not be visualized due to corneal edema. Physical examination, hematology and blood chemistry results were normal. Both eyes were diagnosed as having glaucoma and uveitis. Topical prednisolone acetate, atropine sulfate, brinzolamide and timolol including oral doxycyclin and prednisolone were prescribed. The IOP readings in the right eye were initially controlled with medication for only 3-4 weeks whereas the IOPs in the left eye were refractory to treatment. Glaucoma in the left eye became chronic while vision remained in the right eye. One-eighth iridectomy at 10-11 o’clock and 2x6 mm sclerectomy at 10-11 o’clock were performed in the right eye to create aqueous humor passage drainage. Cyclocryotherapy was performed in the left eye. Topical prednisolone acetate, brinzolamide and timolol were applied OU. Seven months postoperatively, the IOPs were maintained within normal OU limits at all examinations. Menace response and dazzle reflex were positive in the right eye. An obstacle course was positive when the left eye was covered.
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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) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".