Fine Particulate Air Pollution and Mortality: Response to Enstrom’s Reanalysis of the American Cancer Society Cancer Prevention Study II Cohort
Bibliographic record
Abstract
The first analysis of long-term exposures to air pollution and\nrisk of mortality using the American Cancer Society Cancer\nPrevention Study II (ACS CPS-II) cohort was published in\n1995.1 Subsequently, extensive independent reanalysis2 and\nmultiple extended analyses3-7 were conducted. These studies\nhave consistently demonstrated that exposure to fine particulate\nmatter air pollution (PM2.5) is associated with increased\nrisk of mortality, especially cardiopulmonary or cardiovascular\ndisease mortality. A recent analysis by Enstrom, based on early\ndata from the ACS CPS-II cohort, reports no significant relationship\nbetween PM2.5 and total mortality.8 The author asserts\nthat the original analyses, reanalyses, and the extended analyses\nfound positive PM2.5–mortality relationships because of\nselective use of CPS-II and PM2.5 data.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".