Bibliographic record
Abstract
It is widely known that ultraviolet light causes skin damage and melanoma. Different wavelengths of ultraviolet light penetrate the skin at different depths, causing varying levels of damage. Higher wavelengths tend to penetrate deeper and, consequently, are thought to induce a myriad of skin conditions, thereby playing a significant role in the photoaging process. Sunscreens containing the ultraviolet A blocker Mexoryl are important in impeding ultraviolet A light, potentially reducing many of the characteristics of skin aging and preventing biochemical changes that can lead to nonmelanoma carcinoma. Until now, sunscreen products sold in the United States focused on blocking ultraviolet B light. Those that did provide ultraviolet A filtering contained physical blocks (zinc oxide or titanium dioxide) or the chemical block Parsol 1789 (avobenzone). These broad-spectrum sunscreens have limitations, such as degradation under ultraviolet exposure, that resulted in decreased effectiveness. Mexoryl, a novel ultraviolet A filter, provides efficient ultraviolet A coverage, better photostability, and enhanced water resistance. Sunscreens containing Mexoryl are widely used in Europe and Canada. It was not until July 24, 2006, that the U.S. Food and Drug Association approved the compound.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".