Bibliographic record
Abstract
Primary dermal autoimmune disease may affect multiple areas including the facial, nasal, and periocular regions, mucocutaneous junctions and/or external pinnae, manifesting as papular erosions, ulceration, dermatitis, and/or depigmentation. The classification of these diseases is complex, encompassing the pemphigus diseases, lupus diseases, vasculitis-related diseases, and uveodermatological syndrome. Of the pemphigus diseases, pemphigus foliaceous is more commonly encountered, notably affecting the Akita, Chow Chow, and Labrador Retriver. Of the lupus diseases, discoid lupus erythematosis, also described as “cutaneous lupus erythematosus, “is more commonly encountered, notably affecting the Akita, Chow Chow, Siberian Husky, German Shepherd, Australian herding, and Collie-breeds. Breeds commonly affected by uveodermatological syndrome are the Akita, Chow Chow, and Siberian Husky. The diagnosis of autoimmune blepharitis is made based on clinical findings in conjunction with the interpretation of representative dermal biopsies, ideally taken from the interface of affected/non affected tissue.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.011 |
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".