Abdominal fat content assessment by computed tomography in toy breed dogs
Bibliographic record
Abstract
The aim of this retrospective study was to assess the abdominal fat distribution in toy breed dogs using computed tomography (CT) in relation to the breed, age, and sexual status. In 140 dogs (52 Maltese, 33 Poodles, 32 Shih-Tzus, and 23 Yorkshire Terriers), the total fat area (TA), visceral fat area (VA), subcutaneous fat area (SA) and body area (BA) were measured at the third and sixth lumbar vertebral level on non-contrast transverse CT images. The differences in the TA/BA and VA/SA according to the breed, age, and sexual status, and correlations with the age were analysed. The differences in the TA/BA and VA/SA among the breeds were revealed (P < 0.05). There was no difference for the TA/BA among the sexual statuses, but the VA/SA was higher in spayed females than in intact females (P = 0.001). Positive correlation of the age with the TA/BA in the Maltese, Poodles, and intact females, and the age with the VA/SA in the Maltese, Shih-Tzus, Yorkshire Terriers, neutered males, and spayed females were found. The results showed that the abdominal fat composition varied according to the breed, age, and sex, which may have implications on defining obesity-related disease risks in different populations. Careful monitoring of the VA/SA in the breed (Maltese, Shih-Tzu, and Yorkshire Terrier), age (senior dogs), and sexual status (neutered dogs) may be required.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".