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Record W1564457161 · doi:10.1002/ddr.21261

Characterization and Validation of a Canine Pruritic Model

2015· article· en· W1564457161 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDrug Development Research · 2015
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsThe Scarborough HospitalNucro Technics
FundersZoetis
KeywordsBeagleMedicinePharmacologyAntipruriticDrugPrednisolonePlaceboPharmacodynamicsDermatologyPharmacokineticsInternal medicinePathology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.096
GPT teacher head0.371
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it