Evaluation of Sun-Protective Practices of Organ Transplant Recipients
Bibliographic record
Abstract
The incidence, morbidity and mortality of skin cancer are markedly increased in organ transplant recipients. Efforts aimed at reducing sun exposure through sun avoidance, sunscreens and sun-protective clothing are the most effective means to reduce the risk of skin cancer. We evaluated the sun-protective behaviors of 205 transplant recipients. Twenty-three percent of transplant patients continued to seek a tan. Thirty percent of patients did not use sunscreens, and of those patients who did, less than 5% were committed to using them daily. Thirty-seven percent of patients frequently wore hats and 39% of patients frequently wore additional clothing to block the sun. When data were stratified according to patient age, gender or skin phototype, we identified preferences for specific sun-protective methods. These data strongly suggest that many transplant recipients do not use adequate sun protection. Further study of strategies to encourage the use of sun protection among transplant patients is needed to reduce the incidence of skin cancer.
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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 | 0.003 |
| 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) | 0.001 | 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".