Formation of a new dog population observed by pedigree and mtDNA analyses of the Polish Hovawart
Bibliographic record
Abstract
Abstract. The aim of the study was to evaluate changes in the gene pool of a dog population during the period of its formation. Pedigree and mtDNA analyses were performed on the Polish population of Hovawart dogs. A total of 192 litters of 93 dams and 115 sires were born between 1988 and 2008. Breeding began using Hovawarts imported mainly from the Czech Republic and Slovakia; however, the role of Western European dogs increased continually throughout the period analysed. No unfavourable effects caused by the limited size of the population were identified because of the constant inflow of new genes from abroad. The continual increase in the gene pool was indicated by all of the pedigree parameters analysed. Two different mtDNA haplotypes were found, and complete agreement between pedigree and molecular data was noted. The results of the analyses permit concluding that the process of formation of the new Hovawart population was also impacted by non-genetic factors that directly influenced the composition of gene pool.
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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 | 0.001 | 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 | 0.001 |
| 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 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".