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
Electronic cigarettes (ECs) have quickly gained popularity among adolescents and adults, and have begun to replace conventional cigarettes as a source of nicotine. Although little is known about the impact of the exposure of chemical constituents of ECs, two major constituents, propylene glycol and vegetable glycerin have been implicated as formaldehyde-releasing agents. The wide variety of EC flavours appeal to users of all ages with reports showing a positive correlation between EC use and sweet flavorings. In addition, although marketing strategies advertise ECs as tools to facilitate smoking cessation, the evidence supporting this role is weak. In terms of its effect on users with pre-existing cardiovascular diseases, the data is conflicting regarding whether ECs have an impact on cardiovascular function. Although it is obvious that their safety and efficacy needs to be better understood, it is nonetheless essential to review what the research conducted so far has shown.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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