The Distribution of the Heavy Metals in Soil Sample Along Blue Nile During overflow Season
Bibliographic record
Abstract
The research cared out to calculate the heavy metals deposition for the soil of the Blue Nile along the edges of two sides, starting from the Sudan Ethiopia border end to the Khartoum state in Tuti Island. The samples were analyzed by inductively coupled plasma mass spectrometry (ICP-MS) technique. The results show that there is a significant difference for most of the concentration of the elements deposition on two sides of the Blue Nile outside of Nile channel for that area which covered by water after the overflow. Heavy metals Cr, Fe, Co, Cu, and Zn concentration deposition are increased in the direction of the water to Khartoum, while Ni and Pb concentrations are decreased in the same direction. K, Ca, Ti, Mn, Br, Rb, Sr, and Zr heavy metal concentrations are varied but in general remains equals.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".