Migration of Cosmetic Products into the Tear Film
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: To examine, record, and quantify the migration of a conventional eye cosmetic pencil when applied to periocular skin in two different locations: behind the lash line (ELI) and along the periocular skin (ELO). METHODS: This was a pilot study (prospective, randomized crossover design) involving two visits on separate days. Three female subjects were randomly assigned one of two eyeliner application conditions: ELI (inside the lash line) or ELO (anterior to the lash line). Pencil eyeliner ("Glimmerstick" in Graphite; Avon, Northampton, United Kingdom) was applied to the subject's upper and lower right eyelid by the examiner. Slitlamp video recording of glitter particles suspended within the tear film was conducted for 30 sec on 10 occasions up to 2 hr post-eyeliner application. The number of glitter particles suspended in the tear film, analyzed using ImageJ software, is reported. RESULTS: The migration of the glitter particles occurred more readily in ELI application, with maximum contamination of the tear film achieved 5 to 10 min post-application. The migration of eyeliner following ELO application was comparatively slower and reduced compared with ELI application. The quantity of glitter particles suspended in the tear film varied between subjects; however, 2 hr post-application, contamination of the tear film from pencil eyeliner was negligible. CONCLUSIONS: Pencil eyeliner migrates most readily and maximally contaminates the tear film when applied posterior to the lash line. This has implications for contact lens wearers and patients with dry eye syndrome or sensitive eyes. Eye cosmetic usage for participants involved in anterior eye and contact lens research should be carefully considered in the design of studies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it