STUDY AND ANALYSIS FOR PRECEPITATE DUST PARTICLES IN RESIDENTIAL SECTOR AT AL-NAJAF AL-ASHRAF CITY
Bibliographic record
Abstract
This paper has been carried out to study the precipitate dust particles in residential area at Al-Najaf Al- Ashraf city, with special site of Alsaad quarter. It also studied the impact of the most important climatic characteristics ( such as temperatures, wind speed, humidity and evaporation, and rain) with rate affecting the collection the dust particles and to identify the levels of generation at the city. Also the climatic properties of city had been analyzed that resulted in Knowing the range of dust collected. And to identify the environmental impact of the collecting precipitate dust particles, samples were taken at Alsaad quarter by using metal cylinder, for three years from 2007 until 2009, at monthly rate for each sample. The most important results of this paper are the seasonal changes of the climate with anthropogenic activities accompanied by seasonal changes in dust quantities. Finally, the conclusions and recommendations which help the reducing of the risks of this important problem were presented.
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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".