The distinctive histopathology of cicatricial alopecia caused by <scp>IgG4</scp>‐related disease
Bibliographic record
Abstract
IgG4-related disease (IgG4-RD) is characterized by masses at multiple sites, a dense lymphoplasmacytic infiltrate containing numerous IgG4+ plasma cells, storiform fibrosis, and often elevated serum IgG4 concentrations. We present a third case of alopecia (in this instance, cicatricial) caused by IgG4-RD. Based on our findings combined with those seen in two other cases, the histopathologic features of IgG4-RD alopecia include: sparing of the epidermis, cicatricial (scarring) alopecia with a markedly decreased number of hairs, miniaturization of residual hairs, and total loss of the sebaceous glands. Groups of follicles with their associated sebaceous glands (follicular units) are replaced by an extremely dense infiltrate of lymphocytes and especially plasma cells. Histiocytic aggregates, both foamy and non-foamy, may also be present. Variable degrees of fibroplasia may be present but are not an important feature in this type of alopecia.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".