Serum Profile of Thyroid Hormones from Birth to Puberty in Buffalo Calves and Heifers
Bibliographic record
Abstract
Growth is outcome of interactions among several factors, where thyroid hormones play a key role in coordination of these factors and the information of thyroid hormones in relation to growth in buffalo calves and heifers is not adequate. Thus the study was conducted on Murrah female buffalo calves and heifers, varying in age from newborn to 30 months. The study investigated the serum thyroid patterns in female Murrah buffalo calves and heifers from birth to puberty. The thyroid stimulating hormone concentration did not differ and remained almost the same from birth to 4 – 6 months. The thyroid stimulating hormone then gradually increased and reached a highest value at 24 – 30 months. The concentration recorded at 21 – 24 months and 24 – 30 month i.e. at the age of attaining the puberty, was about 3 – 4 times higher than recorded at birth. The T3 concentration recorded at 0 – 7 days of age was significantly higher than recorded for other age groups, except at 18 – 21 months, 21 – 24 months and 24 – 30 months. The T3 concentration did not exhibit specific trend during the ages 16 days – 1 month to 15 – 18 months. The highest T4 concentration was recorded in 0 – 7 days old buffalo calves. The concentration decreased to lower value at 1 - 2 months. The T4 concentration from 2 – 4 months of age increased significantly and the values remained almost similar with minor fluctuations upto 24 – 30 months. The T4: T3 ratio recorded at different ages did not exhibit specific trend
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".