Reductions in residential wood smoke concentrations and infiltration efficiency using electrostatic air cleaner interventions
Bibliographic record
Abstract
Residential woodsmoke (RWS) has received increasing attention as an important source of ambient particulate matter (PM2.5) that negatively impacts air quality and health. An investigation of the impact of ambient RWS emissions on indoor air quality was conducted in 32 residences, together with an evaluation of the effectiveness of electrostatic air cleaners (ESAC) at reducing indoor PM2.5 concentrations. Monitoring was conducted for 3 days in total. On day 1 the woodstove operated as usual with no ESAC. On days 2 and 3 the woodstove was not in operation. The ESAC was randomly chosen to operate in “filtration” or “placebo filtration” mode on day 2 and then switched on day 3. Twenty-one homes had valid infiltration efficiency estimates on the two days when indoor woodstoves were not in use. Average infiltration efficiencies were reduced from 0.49 (Std Dev = 0.29) to 0.29 (Std Dev = 0.20) when the air cleaner was in operation.
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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 | 0.000 | 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".