Characterization and Validation of a Canine Pruritic Model
Bibliographic record
Abstract
Preclinical Research The mechanisms mediating canine pruritus are poorly understood with few models due to limited methods for inducing pruritus in dogs. Chloroquine (CQ) is a widely used antimalarial drug that causes pruritus in humans and mice. We have developed a canine model of pruritus where CQ reliably induced pruritus in all dogs tested following intravenous administration. This model is presently being used to test antipruritic activity of drug candidate molecules. This publication has been validated in a blinded cross-over study in eight beagle dogs using the reference standards, oclacitinib and prednisolone, and has been used to test a new compound, norketotifen. All compounds reduced CQ-induced pruritus in the dog. The sensitivity of the model was demonstrated using norketotifen, which at three dose levels, dose-dependently, inhibited scratching events compared with placebo.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".