A New Calculating Model for the Suitable Area of Air Cleaners Purifying Indoor Gaseous Chemical Contaminants
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Suitable area is an important index when selecting air cleaners. The suitable area's models in corresponding standards in American, Canada and Japan are all set up according to the particulate matters concentration equation. The suitable area can be calculated by multiplying a coefficient with CADR. However, air cleaners are also used to remove indoor gaseous chemical contaminants. The suitable area for particulate matters may not be reasonable for gaseous chemical contaminants. A new model to calculate the suitable area for indoor gaseous chemical contaminants has been set up. Using the CADRs of six tested air cleaners on the market, we compared the suitable areas of the air cleaners in different contaminant concentration levels. The results show suitable areas for gaseous chemical contaminants are much smaller than those for particulate matters. It is of great importance to distinguish suitable areas for different contaminants and the new model has a great reference value.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it