Particulate Air Pollution Standards and Morbidity and Mortality: Case Study
Bibliographic record
Abstract
Received for publication May 23, 2001, and accepted for publication August 30, 2001. Abbreviations: CASAC, Clean Air Scientific Advisory Committee; EPA, US Environmental Protection Agency; PM 10 , standard for coarse particulate matter; PM 2.5 , standard for fine particulate matter. 1 Health Effects Institute, Cambridge, MA. 2 Office of Air Quality Planning and Standards, US Environmental Protection Agency, Research Triangle Park, NC. 3 Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario, Canada. 4 Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD. 5 American Lung Association, Washington, DC. 6 The Electric Power Research Institute, Palo Alto, CA. Reprint requests to Mr. Daniel Greenbaum, President, Health Effects Institute, Charlestown Navy Yard, 120 Second Avenue, Boston, MA 02129-4533 (e-mail: Dgreenbaum@healtheffects.org). EPIDEMIOLOGY AT THE CENTER OF A HIGHLY-VISIBLE NATIONAL DEBATE
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How this classification was reachedexpand
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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".