Development, Characterization and Field Testing of a Passive Air Sampler for Monitoring Occupational Exposure to Mercury Vapors
Bibliographic record
Abstract
An activated carbon-based passive air sampler for gaseous elemental mercury (GEM) was modified for personal exposure monitoring. Calibration yielded a sampling rate of 0.070 m3/day. Deployments lasting 8 hours result in method detection limits below the ASTDR and WHO minimum risk level of 200 ng/m3. The sampler has a measurement range of at least four orders of magnitude. Passive sampler derived air concentrations were not statistically significantly different from active air samplers, but passive sampling was more precise than personal pump sampling. Stationary and personal passive air samplers were used to characterize inhalation exposure to GEM of individuals (1) crushing mercury-containing compact fluorescent lights, (2) living and working in two Ghanaian artisanal and small-scale gold mining communities and (3) working at a Norwegian electronics recycling facility. Exposure concentrations ranging from
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".