Assessment of air quality and community health risks in Di An city - Binh Duong province
Bibliographic record
Abstract
Based on research methods such as methods such as data collection and processing, air quality index calculation methods, public health risk assessment methods to assess air quality and effects of substances on the health of people in Di An city. The data for the calculation are inherited from the environmental monitoring report of the Department of Natural Resources and Environment of Di An city in the period of 2019. The calculation results show that the air quality in the city. Di An is fluctuating at an average - poor level (especially in the Cay Lon junction area with the highest index of 150), the health risk assessment results show that when exposed to dust, the total group of people Adults (Women and Men) had a high fluctuating cancer risk index with the highest index of 2 subjects being in the first quarter 0.310, 0.295, in the second quarter 0.269, 0.282, in the third quarter 0.296, 0.282, Fourth quarter 0.289, 0.275. As for other indicators, the subjects assessed when exposed to substances in the air environment in Di An city can be affected to their health, of which the group of adults is still the group of people. Women and men) are the most affected group.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".