Some Trace Elements in Zilfi Streets Dust
Bibliographic record
Abstract
Dust has frequently been used as a material for monitoring trace elements pollution. The wind may take the trace elements to the farms. Zilfi Province is Located on Riyadh, capital of Saudi Arabia appro ximately 260 km North. And we know that there are many farms around Zilfi Province. So in this study the concentrations of some trace elements(Co ,V ,Ni ,Cu and K) , in streets dust in major streets and inner ones in Hai Elsdeeg and Smnan at Zilfi Province have been studied for co mparison, using Inductively Coupled Plasma-Mass Spectrometer (ICP-MS) ELA N 9000 (Perkin Elmer Sciex Instrumento , Concord ,Ontario ,Canada), after sieving and digestion using HNO3 , HCL and HF . Concentrations of most elements have been found less than allowed concentrations in literature, but Vanadiu m was a little less than the maximu m concentrations allowed. The concentrations of Ni, and Cu, are h igh nearby car repair workshop and also at main streets especially in Hai Elsdeeg compared to Hai Smnan.
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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 | 0.000 | 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 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".