Le Retriever de la Nouvelle-Ecosse : contribution à l'étude de la race, de sa structure génétique et de ses prédispositions pathologiques
Bibliographic record
Abstract
The Nova Scotia Duck Tolling Retriever or « Toller » is a medium-sized gun dog bred to retrieve game for the hunter. Although the breed is still quite unknown in France at present, especially since three years. The study of this breed was carried out by describing the breed standard and its hereditary predispositions, starting from literature as well as from personal data. The most dominant pathologies identified are very diverse yet still limited. The most frequently observed pathologies are hypothyroidism, dysplasia, immune diseases, Addison’s disease and ocular lesions. However, other diseases are present in the breed and requires special attention. The aim of this work including a personal study part is to summarize informations regarding the breed in 2018, propose reference values regarding breed specificity, and to sensitize breeders to principal characteristics of the breed in order to maintain high quality breeding and selection.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".