Prevalence of dog erythrocyte antigen 1 in a population of dogs tested in California
Bibliographic record
Abstract
BACKGROUND: Multiple studies have evaluated the breed-specific prevalence of dog erythrocyte antigen (DEA) 1 in various geographic regions. However, few large-scale studies exist that describe breed prevalence of DEA 1 in the United States. KEY FINDINGS: From January 2000 to October 2020, 6469 dogs had their RBC antigen type determined and were included in the study. The overall prevalence of DEA 1 in all dogs was 61.2%. Of 50 breeds with sample sizes ≥20, 8 breeds had a high prevalence (≥90%) of DEA 1-positive blood type: Basset Hound, Bernese Mountain Dog, Brittany, Dachshund, Miniature Pinscher, Miniature Schnauzer, Pug, and Rottweiler. Four breeds had a high prevalence (≥90%) of DEA 1-negative blood type: Boxer, English Bulldog, Flat-Coated Retriever, and French Bulldog. Numerous breeds with a sample size <20 and ≥5 were found to have 100% prevalence of a DEA 1 blood type, although these findings need to be confirmed with a larger sample size. No statistical difference in any breed based on sex was found. The results in this study are consistent with previously reported data in other countries. SIGNIFICANCE: Knowledge of regional breed differences in DEA 1 prevalence can help to improve selection and recruitment of appropriate blood donor dogs.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".