Effect on Gestation Length of Litter Size, and Inter-Pup Interval, Change of Rectal Temperature in German Shepherd and Labrador Retriever Bitches
Bibliographic record
Abstract
The objective of the current study was to investigate duration of gestation, inter-pup interval and rectal temperature during peripartum period in German Shepherd Dogs and Labrador Retriver bitches in the special care unit of dog in Bursa. The study was performed on 30 bitches of two breds. Estruses were determined according to acceptance of the male for mating. Bitches were examined in dorsal recumbency between days 25 and 30 of gestation without sedation. Pregnancy was confirmed by ultrasonography in all dogs. Gestations length was ranged from 58-64 days. There were 62.61.5 and 61.62.0. days in German Shepherd dogs and Labrador Retriever bitches respectively. The time between birth of the first puppy and the second puppy ranged between 20-415 min, and 5-405 min in German Shepherd Dogs as compared with the labrador bitches. Length of the expulsion phase was calculated as 7.492.44 (3.5- 14.8 h) and 7.381. (4.08-11.11 h) respectively, in German Shepherd Dogs and Labrador Retriewers. Litter size did not have an effect on duration of gestation in the bitches(P> 00,5). Rectal temperature was calculated as 38.270.04 °C at 24 h before expulsion of the first pup and 37.430.06 °C at onset of whelping. Mean rectal temperature, 24 h after parturition, calculated as 38.270.04 °C was significantly higher (P< 0.001) than the temperatures measured prior to whelping. As a result, regarding with acceptance of the male for mating, gestation length did not differ in German Shepherd and Labrador Retriever bitches and rectal temperature decreased before the onset of whelping and increased following parturition. Mean gestation length were not significantly affected by litter size
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".