Airborne Particles In Industrial Facilities in Ontario
Bibliographic record
Abstract
The information about indoor air quality (IAQ) inside industrial facilities is largely missing, even though it is highly possible that the conditions inside such facilities are worrisome. This paper picks some random samples of industrial facilities of various sizes in Ontario and measures the airborne particle concentrations and its compositions. The focus is on PM2.5. Some benchmark information was established as regards to the current state of airborne particle concentrations in various different industrial facilities. Airborne particle counters were used to measure the airborne particle concentrations, temperature was also measured. Spatial distribution of the particle concentration and temperature was measured in some facilities. A sampling system was used to collect airborne particles with PM2.5 cut size. The particle samples collected were used to determine the mass concentration, some samples were also sent out for metal scan or SEM imaging. The information gathered in this paper clearly shows that there is a need to improve the indoor air quality in industrial facilities. Depending on the specific nature of the facility, facility managers should implement technologies appropriate to address the airborne particle issue. Further studies are recommended to include more facilities.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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; both teacher heads agree on what is shown here.
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".