Overview on Reproductive Endocrine Aspects in Buffalo
Bibliographic record
Abstract
Buffalo is an important worldwide species in terms of milk and meat production as well as draft. The major constraints to full exploitation of the productive potential of buffalo are its inherent low reproductive efficiency due to delayed puberty, higher age at first calving, long post partum anoestrus period, long intercalving period, silent heat coupled with poor expression of oestrus, seasonality in breeding and low conception rate. Reproductive cycles in buffalo are regulated by endocrine-neuroendocrine interactions between hypothalamic, gonadotropic, gonadal and other hormones. To improve the buffalo reproductive efficiency, the investigation on endocrine aspects is useful to gain a better knowledge of buffalo reproduction. This review is focused on the information available on various basic hormones (Melatonin, Progesterone (P4), Estradiol 17B (E2), Follicle stimulating hormone (FSH), Luteinizing hormone (LH)) and on new hormones (Inhibin, Glycoproteins associated with pregnancy (PAGs), Leptin) related to reproductive function.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".