Reply to Lucock et al.: Significance of interpretation and misinterpretation of a small mechanistic study
Bibliographic record
Abstract
The aim of our small mechanistic study (1) was to test the biologic plausibility that ambient particle pollution might have epigenetic effects on DNA methylation that could be modulated by methyl donor supplements. We acknowledge in this letter and in our paper that generalizability of our results is limited not only by study size, but also by the characteristics of healthy study participants. In contributing to the body of literature used for scientific assessment and consequent policy decision making, carefully controlled mechanistic studies like ours complement the large epidemiologic studies that, as Lucock et al. (2) suggest, show that reduction in ambient particle levels have led to improvement in health and reduction in morbidity and mortality (3⇓⇓–6). Studies like ours cannot diminish—nor be … [↵][1]1To whom correspondence should be addressed. Email: jiazhong{at}mail.harvard.edu. [1]: #xref-corresp-1-1
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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 | 0.028 | 0.153 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.052 | 0.062 |
| Insufficient payload (model declined to judge) | 0.003 | 0.005 |
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".