Analysis of the Content of Hydrogen Sulfide in the Air of the City of Atyrau
Bibliographic record
Abstract
This study is aimed at analyzing the content of hydrogen sulfide in the air of the city of Atyrau, located in the northern part of the Caspian Sea of the Republic of Kazakhstan. The analysis was carried out on the basis of monitoring the indicators of the Republican State Enterprise "Kazhydromet" from 8 points located in different directions from the Atyrau oil refinery. Measurements of atmospheric air pollution are made by the GANK-4AR gas analyzer designed for continuous automatic measurement of concentrations of pollutants in the atmospheric air. Hydrogen sulfide was selected as an indicator air pollutant. Atyrau oil refinery is the main object of pollution of the territory of the city of Atyrau, located in the western part of the Republic of Kazakhstan, on the shore of the Caspian Sea. The results obtained show that the content of hydrogen sulfide in the territory of the city of Atyrau in most places shows an excess of the maximum permissible concentration. Especially the excess is observed in the north-western part up to 4-8 maximum permissible concentrations. At two points (in the north-eastern and western parts), the content of hydrogen sulfide did not exceed the maximum permissible concentration.
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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 | 0.001 | 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".