Evaluation of the Level of Air Pollution by Gases and Particulates at the Edge and in the Interior of a Conservation Unit: A Case Study in the FLONA of Restinga de Cabedelo, Paraíba, Brazil
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
Air pollution has become one of the biggest problems and concerns worldwide, especially in large industrial cities, where the discharges of toxic substances together with the intense and growing traffic of vehicles are largely responsible for the emission of pollutants into the atmosphere. It is known that road infrastructure generates several environmental impacts during its implementation and operation. Thus, the present study seeks to describe the air quality in and around the Restinga de Cabedelo National Forest (Flona), a conservation unit located in the State of Paraíba, prior to the improvement work with expansion of the capacity and safety of the BR-230 Highway, through the measurement of PTS, PM10, SO2 and NO2.
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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 | 0.002 | 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) | 0.000 | 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