Dişi köpeklerde östrus siklusunun farklı dönemlerindeki serum Vitamin E ve malondialdehit düzeyleri ile bazı üreme özelliklerinin değerlendirilmesi (The Evaluation of Some Reproductive Parameters and Serum Concentrations of Vitamin E and Malondialdehyde in Different Stages of Estrus Cycles in Bitches)
Bibliographic record
Abstract
This study was performed to determine whether there is a relationship between some reproductive \ntraits and the serum concentrations of vitamin E and malondialdehyde (MDA) in different stages of \nestrus cycles in bitches. A total of 19 multiparous bitches (8 Labrador Retrievers and 11 German \nShepherds) were used in this study. The onset of proestrus was designated as the first day of \nsanguineous vaginal discharge. Following that, vaginal smears were obtained from each bitch daily \nuntil onset of diestrus. Blood samples were collected in the onset of proestrus, estrus and diestrus \nand, serum concentrations of vitamin E and MDA were determined. The bitches were naturally mated \non day 2 and 4 after onset of estrus. There was no significant difference (P>0.05) in the serum \nconcentrations of vitamin E and MDA in different stages of estrus cycles although there was individual \ndifference among bitches. In addition, there was no relationship between litter size and other \nreproductive traits and the serum concentrations of vitamin E and MDA. There was a negative \ncorrelation (P<0.01 r=-0,829) between the length of gestation and litter size. In conclusion, we \nobserved that the serum concentration of vitamin E and MDA was similar in different stage of cycles \nand, they had no significant effect on the reproductive traits in bitches.
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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) | 0.002 | 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".