Concurrent follicular dysplasia and interface dermatitis in Boxer dogs
Bibliographic record
Abstract
Recurrent or persistent follicular dysplasia and interface dermatitis are described in nine Boxers. Data on age, sex, seasonality of alopecia and histopathological features of the follicular dysplasia in these nine Boxers are comparable with those described in previous reports. The interface dermatitis was characterized by multifocal annular crusted lesions confined to the areas of follicular dysplasia. The inflammatory lesions were neither pruritic nor painful and affected dogs were otherwise healthy. Histopathologically the clinically inflammatory lesions were characterized as an interface dermatitis. Immunohistochemical studies failed to demonstrate immunoglobulins or complement at the basement membrane zone or within blood vessel walls. In dogs with recurrent or persistent disease, the follicular dysplasia and interface dermatitis ran identical, concurrent courses of spontaneous remission and recurrence, or persistence, respectively. One dog with persistent disease was treated successfully with tetracycline and niacinamide for the interface dermatitis, and melatonin for the follicular dysplasia. Although the aetiopathogenesis of this newly described condition and the relationship between the two histological reaction patterns are not known, photoperiod and genetic predisposition appear to play a role.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".