Spectroscopic Determination of Some Trace Elements as Pollutants in Fruit Dates Palm and Agricultural Soils at Zilfi Province
Bibliographic record
Abstract
Some trace elements (Ag, Al, As, Bi, Cd, Co and Cr,) which could be found as pollutants in fruit dates palm and agricultural soils at Zilfi province was measured using ICP-MS. The area of study, the date palm farms found at Zilfi province, was surfed during September 2013 taking 11 samples of soil from these farms randomly. Also 11 samples of date palm fruit (fully ripe, stage of Tamer) were collected from the same farms. The pH and electric conductivity was measured to the soil samples. (ICP-MS) spectrophotometers were used to determine the concentrations of the elements in both soil and dates (washed and unwashed). The concentration of Ag in all samples was higher the Saskatchewan quality standards for soils .All soil samples were found to be contaminated with As, because all these concentrations of arsenic are more than Saskatchewan quality standards for soils (11(mg/kg)), and SQGE soil quality guideline for environmental health (17(mg/kg). All elements concentrations date fruits samples are less compared to literature elements concentrations. As general the concentrations of these elements are less in washed date samples compared to unwashed ones.
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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 | 0.000 | 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) | 0.001 | 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".