The Use of Direct Immunofluorescence in Frontal Fibrosing Alopecia
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.
Bibliographic record
Abstract
<b><i>Background:</i></b> Frontal fibrosing alopecia (FFA) differs from lichen planopilaris (LPP) in many clinical aspects, but histology fails to distinguish between these entities. Direct immunofluorescence (DIF) is a diagnostic technique used for autoimmune diseases, including those affecting skin and hair. <b><i>Objective:</i></b> To characterize DIF patterns in patients with FFA. <b><i>Method:</i></b> Data was collected retrospectively from FFA cases presenting to the Centre de Santé Sabouraud Hair Clinic in Paris from November 2013 to November 2014. <b><i>Results:</i></b> Of 149 patients with FFA, 44 cases underwent DIF. Thirteen cases showed positive results with DIF. Patterns characteristic of LPP and lupus erythematosus were observed, with nearly half showing nonspecific staining. <b><i>Conclusion:</i></b> DIF patterns in patients with FFA were variable. This diagnostic technique should be used with caution in cases of cicatricial alopecia, particularly FFA.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it