A boy with multiple patches of alopecia and an affected cat
Bibliographic record
Abstract
A 7-year-old boy presented with itching, scaling, and areas of hair loss in the left parietal area on the scalp of 6 weeks duration (Figures 1 and 2). His past health was unremarkable. Family members were not affected. Physical examination revealed patches of fine scaling, patchy hair loss with broken hair shafts, and a black dot appearance in the left parietal area. The hair in the affected area was of irregular length. The hair-pull test was negative. [The test is conducted at more than three locations on the scalp and is used for monitoring alopecia areata, acute cases of telogen effluvium, anagen effluvium, and loose anagen syndrome. The results are considered positive if more than 10% of hairs in a pulled bundle are removed]. There was no cervical, occipital, or postauricular lymphadenopathy. The rest of the physical examination was unremarkable. A clinical diagnosis of noninflammatory tinea capitis was made based on the history of an affected cat at home and findings of multiple patches of alopecia with fine, white, adherent scaling of the scalp. The diagnosis was confirmed by potassium hydroxide wet-mount examination of scalp scrapings of the active border of an alopecic lesion, which showed septate hyphae and fungal spores. Culture of scalp wounds yielded Microsporum canis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".