(R) Alopecia areata hair pull test and its correlation to histopathological findings.
Bibliographic record
Abstract
Background: Alopecia areata (AA) is a common non scarring type of hair loss that affects 2% of the general population with unpredictable course. Aim: Histopathological comparing of perifollicular lymphocytic infiltrate in alopecia areata in both longitudinal and transverse sections and its relation to hair pull test. Methods: The study was conducted on 18 AA patients attending the dermatology outpatient clinic, Minia university hospitals from September 2022 to December 2022. Three millimeters punch biopsy was taken from the edge of the lesion in each patient and was processed routinely for longitudinal sections and was stained with hematoxylin and eosin stain then re-embedded and transverse sectioning was performed. Perifollicular mononuclear inflammatory infiltrate was evaluated either significant or not in each case and in each follicle. Result: Significant higher numbers of the terminal hair follicles with significant existence of perifollicular infiltrate were found in transverse sections when compared to longitudinal sections and that immune infiltrates positively correlated to the positive hair pull test.
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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 | 0.000 | 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) | 0.003 | 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".