A retrospective study on some reproductive parameters of German shepherd bitches in Kenya
Bibliographic record
Abstract
Data relating to reproductive parameters of German shepherd bitches were collected from \nregistered German shepherd dog (GSD) breeders with information kept over a 15-year \nperiod (1982–1997). The information obtained was verified using the East African Kennel \nClub records. A total of 594 bitches from 280 breeders were recorded. From these, 798 heats \nwere observed, 594 of which were used for breeding, resulting in 3592 puppies. The mean \nage at puberty was 519.0 ± 41 days. Heats occurred throughout the year, although significantly \n(P < 0.05) higher and lower incidences were observed in October and April respectively. \nPregnancy significantly (P < 0.01) increased interoestrous interval, which was \n247.8 ± 99.6 and 183 ±52 days among bred/pregnant and non-bred bitches respectively. \nMost bitches in oestrus (73.7 %) were bred, and breeding was carried out throughout the \nyear, with a distribution closely related to that of heat incidence. Subsequently, whelping \noccurred throughout the year, and 95.5%of the bitches that were mated whelped. A mean \ngestation period of 60.6±5.1 days was observed. The mean litter size was 6.4±0.4 puppies, \nand did not differ significantly between months. The preweaning losses were low, with \n2.3 % stillbirths, 0.9 % culls and 11.4 % mortalities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".