Basic data on the hematology, serum biochemistry, urology, and organ weights of beagle dogs
Bibliographic record
Abstract
This study was conducted to provide basic data on physiological and hematological characteristics, and organ weights of beagle dogs. A total of 237 beagle dogs were used to determine differences in physiological and hematological parameters, and organ weights depending on sex and age. The respiratory rate of both sexes tended to increase as they grew older and the female heart rate was slightly higher than that of males. Male and female body weights increased rapidly to 33 weeks old followed by a gradual increase to 41-weeks-old. The relative weight of the brain was negatively correlated with body weight, whereas the weight of reproductive organs was positively correlated with body weight. The platelet count of female dogs was slightly higher than that of males. The red blood cell, hemoglobin, and hematocrit of both sexes increased non-significantly with age. In the leukocyte differential count, the neutrophils, and eosinophils of both sexes tended to increase as they grew older, whereas basophils, lymphocytes, and monocytes decreased. In the serum biochemical profiles, alkaline phosphatase was slightly higher in males than females, while the total cholesterol of female dogs at 9-months-old was higher than that of males at the same age. Other biochemical components, including alanine aminotransferase, blood urea nitrogen, creatinine, triglyceride, and total protein increased non-significantly with age in both sexes. To conclude, we observe no significant physiological or hematological differences with sex or age, although decreasing and increasing trends were detected with some parameters. These data provide valuable reference indices of the normal physiological and hematological characteristics of beagle dogs, which should prove useful in toxicological and pharmacological studies.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".