SUPEROVULATORY PROTOCOL WITH EQUINE PITUITARY EXTRACT (EPE) IN MARES CRIOULA AND THE QUARTER HORSE
Bibliographic record
Abstract
Abstract This study compared the superovulatory response of embryos donor mares of Quarter Horse (QH) and Crioula using a protocol with low dose of equine pituitary extract (EPE). Eight QH mares and six Crioula mares were monitored during 3 consecutive estrous cycles, with each cycle corresponds to a group. Control Group - monitoring of follicle growth up to the ovulation; EPE group - when the follicles reached 20 mm in diameter were administered 7 mg EPE twice daily. When the follicles achieved a diameter 35 mm, the ovulation was induced with 2500UI hCG; Post-EPE Group - idem to the control group. Data were analyzed using GLM procedure of the SAS statistical package. The variables were submitted to the Tukey’s test and least square means adjusted for multiple comparisons using the Tukey-Kramer’s test, with significance level of 5%. Values are presented as mean ± SD. In the Crioula mares treated with EPE, there was an increase in the number of ovulations (p =0.0534) with a mean of 3.33 ± 2.06 ovulations when compared to the control and post-EPE groups, and mares QM. (2.00±0.53). Treatment with EPE in the recommended dose allowed better superovulatory response and rate of embryo recovery in Crioula mares when compared to the QM mares
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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 | 0.000 | 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".