Laser treatment of iris cysts in a flat coated retriever.
Bibliographic record
Abstract
Uveal cysts are fluid filled structures arised from the iris or ciliary body commonly presented in certain breeds such as Golden retriever, Labrador retriever and Boston terrier. This report describes the clinical signs, the laser technique and the postoperative aspect for a Flat Coated Retriever with iris cysts. A 6 year-old, neutered male Flat Coated Retriever was referred to the Animal Medical Centre with a history of two pigmented masses in the anterior chamber. Ophthalmic examination of the right eye showed the presence of two highly pigmented iris cysts attached at the pupillary margin to the posterior iris. Nonsteroidal eye drops (ketorol tromethamine) and a course of oral meloxicam were initiated a week before the procedure. Under general anaesthesia the diode laser was used with an indirect ophthalmoscope headset and a 20 diopter lens. Preoperative atropine and proxymetacaine eye drops were applied. Diode laser was used to deflate the cysts. Initial pigment dispersion in the anterior chamber and on the surface of the lens was noted. Topical nonsteroidal, steroidal and antibiotics (dexamethasone, polymyxin and neomycin) eye drops were continued to control the secondary uveitis. Clinical progress was monitored and there was minimal postoperative aqueous flare with no ocular discomfort. Diode laser is an effective treatment of highly pigmented iris cysts.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".