The Design and Use of the Personal Environmental Sampling Backpack (PESB II) for Activity-Specific Exposure Monitoring of Career Pig Barn Workers
Bibliographic record
Abstract
Career pig barn workers in large confinement barns are exposed to airborne contaminants that need to be quantified. Monitoring instrumentation had to be sanitized to satisfy the biosecurity entrance requirements for pig barns. We satisfied this requirement with the development of a portable Personal Environmental Sampling Backpack (PESB). A pilot study was conducted with the original PESB after which modifications were made to construct the PESB II. The objective of the present study was to modify the PESB to create a monitoring system that is acceptable to workers, accurate, able to collect and store data reliably, and transferable from one animal confinement operation to another. A CO2 sensor with a higher detection range was incorporated into the new instrumentation, H2S monitoring capability was added, and improvements were made to the amount of data the new PESB II instrumentation could store. Compared to the original PESB, the PESB II has a lower mass and volume (reduced by 46% and 70%, respectively), a wider range of CO2 measurement capability, an H2S sensor, a data logger with more data capacity for 11.5 h of real-time monitoring, and a high level of worker acceptability. Apart from revealing a problem with H2S cross-reacting with the NH3 sensor, the PESB II system measured all other parameters reliably and accurately while allowing disinfection to meet stringent biosecurity protocols.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".