Autoimmune diseases in dogs and their impact for breeding programs with special reference of the Nova Scotia Duck Tolling Retriever
Bibliographic record
Abstract
INTRODUCTION: Autoimmune diseases are of considerable importance in dog breeding. An increased risk of diseases with genetic predisposition is present especially in breeds with a limited genetic diversity. Strict breeding regulations and a high degree of self responsibility of the breeders are essential to prevent these diseases. There are only a few DNA tests available for detecting carriers of genes predisposing for autoimmune diseases. In this review, we describe the special situation in the Nova Scotia Duck Tolling Retriever, who has a special predisposition for Systemic Lupus Erythematosus (SLE) and for Immune-mediated Rheumatoid Disease (IMRD), as well as for Steroid-Responsive Meningitis Arteritis (SRMA) and Juvenile Addison's Disease (JADD). In addition a short overview on the pathogenesis of autoimmune disease is presented.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".