Prediction of Body Weight from Linear Body Measurements in Nili-Ravi Buffalo Calves
Why this work is in the frame
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Bibliographic record
Abstract
Using 24 Nili-Ravi male buffalo calves, an experiment was carried out to find out the correlation of body weight with linear body measurements and to test the accuracy and precision of regression equations to estimate body weight from linear body measurements. All the linear body measurements during 6 - 24 months of age were positively and significantly correlated with body weight (P< 0.01). The coefficient values were decreased gradually with the increase of age of calves. The body weight of 6-12, 12-18 and 18-24 month calves can be predicted on the basis of linear body measurements with very low standard error of estimates and the developed models explained 83.21, 82.23 and 66.66% of variation in body weight, respectively.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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 it