Computed tomography measurements of intraocular structures of the feline eye
Bibliographic record
Abstract
Diagnostic imaging of the eye can be performed using ultrasonography, MRI or CT. This study describes the CT dimensions, volumes and radiodensities of presumed normal feline intraocular structures. Nineteen adult patients were included in this retrospective study. Fourteen males and five females were included, with domestic short hair (DSH) being the predominant breed. Length, volume and radiodensity values for the lens, anterior chamber, vitreous chamber and optic nerve were calculated as well as measurements of the optic nerve width. There was no significant correlation found on linear regression analysis comparing patient's body weight with the various ocular measurements. Measurements of the lens, globe and optic nerve had significant differences (P<0.05) noted between the sexes, with males having increased values. These results may be skewed due to the large majority of male patients in the study. There was a weak correlation found between age and right eye (OD) optic nerve width, with an increase in the optic nerve width noted with increasing age. The findings of this study are a first step in establishing CT reference values for feline intraocular structure measurements.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.002 | 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".