Influence of age on blood biochemical profile of obese dogs
Bibliographic record
Abstract
Fifteen obese Labrador dogs of more than 3 years age of either sex, brought to Madras Veterinary College Teaching Hospital are selected and are grouped according to their age groups, viz., 3-5 years, 5-8 years and above 8 years. After physical examination, blood samples were collected and analysed for the biochemical parameters including glucose, cholesterol, alanine aminotransferase, BUN, creatinine, total protein, albumin and globulin. Compared with the established reference range, the results of the study revealed that the normal concentration of biochemical parameters including glucose, BUN, creatinine, albumin and ALT within the normal range. But the concentrations of cholesterol and globulin were gradually increased in obese animals as age advances. Aging had also increased serum total protein and decreased serum albumin gradually. The other parameters were not affected due to aging in obese dogs.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".