Comparative Evaluation of the Lateral Ventricles with Computed Tomography in Yorkshire Terrier, Maltese, and Shih-Tzu Dogs
Bibliographic record
Abstract
This study was performed to evaluate the size and asymmetry of the lateral ventricles in CT images of three different small breed dogs. CT examinations were performed on thirty Yorkshire terriers, malteses, and shihtzu dogs, respectively. The size and asymmetry of their lateral ventricles were evaluated at three different levels of brain, and dogs were categorized on the basis of the percentage of their ventricular height (Vh) to brain height (Bh). Degree of asymmetry was also categorized based on the rVh (ratio of right and left ventricular heights) as normal (rVh ＜ 1.5), mild (1.5 ＜ rVh ＜ 2.0), or severe (2.0 ＜ rVh). Clinically insignificant ventricular dilation was common in these breed dogs. However, severe asymmetry was not presented in clinically normal dogs. We suggested 11 ㎜ as an upper limit of ventricular size in normal small breed dogs.
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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 | 0.000 |
| 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".