Patterns of skin disease in a sample of the federal prison population: a retrospective chart review
Bibliographic record
Abstract
BACKGROUND: Dermatology in vulnerable populations is under-researched. Our objective was to analyze the most commonly referred skin diseases affecting the Correctional Service Canada inmates in Ontario. METHODS: An observational, cross-sectional, retrospective chart review of inmate patients seen from 2008 until 2013 was performed. Two groups of patients were included in the analysis: those assessed in-person, and those evaluated by e-consult. RESULTS: In the in-person patient group, the 3 most common diagnoses were acne, psoriasis and other superficial mycoses. For the e-consult group, the 3 most frequent diagnoses were acne, psoriasis and rosacea. There was a clear bias toward more inmates being seen in-person where the service was provided (Collins Bay Institution) than from other correctional institutions in Eastern Ontario. INTERPRETATION: Most of the skin diseases that affected the incarcerated population studied were common afflictions, similar to those affecting the general population, which is in agreement with other studies. Future studies investigating skin diseases in male and female inmates across Canada would bestow more generalizable data.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".