Relationships between the Parity and Pelvimetry of Egyptian Buffalo Cows: Prediction of Dystocia and Estimation of Age
Bibliographic record
Abstract
Background: The current study aimed to determine the most strongly correlated variable of pelvimetry with the parity in our native breed Egyptian buffaloes. Methods: The study was conducted on 36 female buffaloes (nullipara, n=14, primipara n=6 and pluripara, n=16 with 2-4 births) aged between <15 months, n=15 and 65 months, n=21. The internal and external pelvic measurements were obtained using the rice pelvimeter and Freeman’s measuring tape. Results: Strong positive linear relationships were found for the distance between ischiatic tuberosities and the distance between sacral tubercles with the correlation coefficients of 0.64 and 0.62, respectively. The conjugate diameter increased progressively with the age and number of births, with a correlation coefficient of 0.96. The pelvic area had a very strong positive linear relationship with a correlation coefficient of 0.89. The linear combination of the predictor variable (conjugate diameter), to predict the number of birth was developed successfully. Conclusion: The strong relationship between the conjugate diameter and the number of births could be employed to predict the dystocia and estimate the age of female buffalo. Furthermore, these findings could be aid paleontologists in studying buffalo fossils.
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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 | 0.002 | 0.000 |
| 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 | 0.001 |
| 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".