The Correlation of Canine Elbow Dysplasia and Serving Time in Guide Dog Labrador Retrievers in New Zealand
Bibliographic record
Abstract
Canine elbow dysplasia (CED) is a degenerative disorder of the cubital joint leading to pain and lameness. In order to minimize the amount of guide dog Labrador Retrievers suffering from CED, the Blind Foundation Guide dogs in New Zealand uses the New Zealand Veterinary Association (NZVA) Elbow Dysplasia scheme to select dogs for training. In this retrospective study the serving time of different elbow grades were compared to see if a higher NZVA Elbow grade correlates to a shorter service time. When comparing the Kaplan-Meier Curved for the highest NZVA Elbow grade per dog, no significant different could be found. However, dogs with a clinical diagnosis of CED were found to have a significantly shorter mean service time of 3,3 years. In conclusion, this study shows no significant difference in serving time for guide dogs based on the NZVA grade at one year of age.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".