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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".