Ultrasonographic Biometry of the Ovaries of Pregnant Kundhi Buffaloes
Bibliographic record
Abstract
Sixteen gravid uteri of 1st, 2nd, 3rd and 4th month of pregnant Kundhi buffaloes were collected from Hyderabadslaughterhouse for this study. The ovaries were separated from gravid uteri of Kundhi buffaloes and ultrasonographicbiometry was performed by ultrasound machine (HS-2000, Honda electronics Co. Ltd., Japan). The ovaries wereexamined for presence of follicles and/or corpus luteum. The length, width and height of ovaries and corpus luteum (CL)were recorded and measured. The average weight of ovaries with corpus luteum during 1st, 2nd, 3rd and 4th month's ofpregnancy was 4.6 + 0.345, 5.90 + 1.134, 6.10 + 1.179, and 6.50 + 1.139 gms, respectively. The average weight of CLduring 1st, 2nd, 3rd and 4th month of pregnancy was 2.0 +0.162, 2.4 + 0.35, 2.6 + 0.27, and 3.0 + 0.49 gm, respectively.The average weight of ovaries of non-gravid uterus of same buffaloes was 2.7 + 0.35, 3.6 + 1.10, 3.9 + 1.15, and 4.2 +1.09 gm during 1st, 2nd, 3rd and 4th month of pregnancy respectively. The average size of the left and right ovary was 29.0+ 1.2 mm and 20.01 + 2.15 mm respectively and the average size of CL was 17.13 + 3.15 mm. There was significantincrease in the weight, length, width and height of ovaries and corpus leutum as pregnancy advances than non-pregnantbuffaloes. A greater number of ovarian structure (follicles) was found at the time of oestrus than anoestrus period.
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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".