Assessment of Gaseous Pollutants along High Traffic Roads in Kano, Nigeria
Bibliographic record
Abstract
This study was aimed at assessing the air quality along some busy roads in Kano metropolis. The study was conducted from December 2009 to September 2010; air pollutants such as: CO, H2S, NO2, SO2, FL and NH3 were included in this study. The results indicated that the concentrations of CO, H2S, NO2 and SO2 measured, with few exceptions, at some sites were above the air quality index AQI stipulated by USEPA, especially during the afternoon periods. This implies that traffic emission within Kano metropolis is not within the safe limits, revealing that transport-related pollution in Kano metropolis can be potentially hazardous to health. In addition, the results also indicated that the total level of pollutants in all sites was noted across the seasons.. Increases during the Warm and Wet Season provide strong evidence that rainfall impacts the pollutants concentrations at all sites.
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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 | 0.002 | 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) | 0.001 | 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 teacher head, 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".