Preservatives and Skin Sensitization Quantitative Risk Assessment
Bibliographic record
Abstract
BACKGROUND: Preservatives are an unfortunately common cause of allergic contact dermatitis (ACD). Often, this is in association with exposure to cosmetics or medicaments. Recently, a quantitative risk assessment (QRA) approach to the quantitation of safe exposure levels for sensitizers has been promulgated as a more effective tool for the identification of acceptable levels of potential sensitizers in consumer products. OBJECTIVE: To assess this QRA approach, which facilitates the prediction of acceptable exposure levels to skin sensitizers in consumer products, levels that are normally below the threshold for the induction of skin sensitization. METHODS: Retrospective QRA analysis on four preservatives in five consumer product types. RESULTS: The analysis shows that functional levels of preservatives may be somewhat above an ideal exposure level for some product types, an outcome that is consistent with the clinical picture. CONCLUSION: QRA represents a new tool that in the future should be used in combination with the assessment of microbiologic protection needs of specific product types to limit the problem of preservative ACD.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".