Breed, parity, and cycle season effects on life-timereproduction in bitches: a retrospective study
Bibliographic record
Abstract
The aim of this retrospective study was to evaluate the effects of breed, parity, and season on the reproductive parameters in bitches reared under a temperate climate. Breeding and pregnancy statuses, proestrus, estrus, and pregnancy durations, litter size, and cycle interval were recorded from German shepherds (GS, n = 34), Labrador retrievers (LA, n = 23), Belgian Malinois dogs (BM, n = 13), and Pointers (PO, n = 9) up to 10th parities. The mean age at first breeding (464.8 ± 26.2 days, mean ± SD) and the pregnancy rate (74.6%) were not different among breeds. The pregnancy duration was shortened as the number of puppies born increased in each whelping (P < 0.008). The cycle interval varied by breed (208.2, 215.1, 208.6, and 237.0 days for GS, LA, BM, and PO, respectively, P < 0.01) and decreased linearly from 241.1 to 202.0 days as parity increased from 1 to 10 (P < 0.04). The season did not affect the cycle interval, proestrus, and estrus length (P > 0.05). Reproductive parameters varied among the GS, LA, BM, and PO bitches reared in Turkey. The effect of seasonal variation was negligible.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".