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
Air pollution is increasing beyond previous estimates and is viewed as the world's largest environmental health risk factor. Numerous clinical and epidemiological studies have highlighted the adverse effects of environmental pollutants on health. Although there is comparatively less research investigating the cutaneous effects of ambient pollution, there is growing recognition of the adverse effects on skin. In this article, we provide an overview of the nature of environmental pollution and highlight the current evidence detailing the effects on cutaneous health. There is convincing evidence demonstrating that air pollution has a detrimental impact on skin and can exacerbate skin disease. Further epidemiological and experimental studies are required to assess the short- and long-term deleterious effects of ambient pollutant exposure on skin. The future challenge would be to use this evidence to develop specific strategies to protect against pollution-induced damage and prevent the effects of "bad air getting under our skin."
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.006 | 0.007 |
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