Indoor Air Quality Monitoring in Akure, Ondo State, Nigeria
Bibliographic record
Abstract
Using the Canāree A1, a low-cost monitoring device made by Piera System, Canada, variations in Particle Count (PC) and Particulate Matter were observed in a building residence of five rooms in Akure, Nigeria (two living rooms, two bedrooms, and one kitchen) in both January and February 2022. The average PM2.5 and PM10 levels in all rooms were above the World Health Organization (WHO) guidelines for 2021, which were: PM2.5 - Annual (5 µg/m3), 24 h (15 µg/m3), and PM10 - Annual (15 µg/m3), 24 h (45 µg/m3). Rooms A (the first sitting room) and C (the kitchen) were found to have greater PC and PM values than the other rooms. Room A had the greatest PC1.0 level, however, PC5.0 was also discovered to be high. Based on the volume of activities, PM10, PM5.0, and PM2.5 were the main air pollutants in Akure. These results indicate considerable effects from both indoor and outdoor activity, two key sources. During the duration of the study, certain residents of the building frequently complained of having a cough, a running nose, and other ailments. These results indicate considerable impacts from both indoor as well as outdoor activities. During the duration of the study, certain residents of the residence often reported having a cough, a running nose, and other ailments.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".