Expanding the UK Canine Diabetes Register archive
Bibliographic record
Abstract
THE UK Canine Diabetes Register and archive, established at the Royal Veterinary College (RVC) 25 years ago, is an extensive collection of residual blood samples and accompanying clinical data from diabetic dogs. We are seeking to expand the archive for ongoing genetics studies, while also examining the prevalence of elevation of the pancreatic inflammatory marker DGGR lipase1 in the canine diabetic population. Elevation in DGGR lipase is typically associated with pancreatic inflammation, and recognition of pancreatitis in a canine diabetic patient is important for successful clinical management.2 We are offering a single free-of-charge DGGR lipase measurement to dogs with a confirmed diagnosis of diabetes mellitus3 that are not already included in the register. Any surplus sample after diagnostic testing will be banked at the RVC, with informed owner consent, for research use. Further details regarding eligibility and sample submission are available by accessing the online sample submission form at https://rvc.uk.com/canine-diabetes or by contacting us at the email address provided.
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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 | 0.019 | 0.080 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.097 | 0.049 |
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".