Case 1: Severe acne – not just skin deep
Bibliographic record
Abstract
A previously healthy 10-year-old girl presented to a paediatric dermatologist with a three-year history of facial acne resistant to medical therapy. At seven years of age, she developed acne on her face, back and thorax that progressively worsened despite adherence to topical face creams and a trial of minocycline (Minocin, Triax Pharmaceuticals, USA). On further history, she developed pubic hair at seven years of age and axillary hair soon after. Early breast development was noted at nine years of age, but she was pre-menarcheal at the time of consultation. She denied a significant growth spurt, but her parents noted that at 10 years of age, she was the tallest girl in her peer group and the same height as her 15-year-old sister. Her mother's height was 170.2 cm and her father's height was 172.7 cm, giving her a midparental height of 165.1 cm (just above the 50th percentile). Her mother and sister both reached menarche at 12 years of age.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".