Successful treatment of chronic canine blastomycosis in a Labrador retriever with sterile histopathology
Bibliographic record
Abstract
A four‐year‐old, neutered male Labrador retriever from Minnesota, USA was presented to a dermatology referral clinic for evaluation of waxing and waning paronychia and multifocal cutaneous nodules of five months’ duration. The condition was managed before referral with antibiotics and glucocorticoids resulting in a partial response, but new lesions continued to develop. Skin biopsies made both before and after referral revealed pyogranulomatous dermatitis and fibrosis with negative fungal stains. However, acetate tape impression cytology performed at time of referral detected a single blastomyces organism; thus, a definitive diagnosis of blastomycosis was made. Treatment with fluconazole followed by generic itraconazole resulted in rapid, full recovery in three months’ time. Thoracic radiographs at the time of blastomycosis diagnosis were within normal limits, despite history of mild cough. This case highlights the potential pitfalls in diagnosis and treatment of canine blastomycosis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".