Change of Trace Element Contents of Purple Soil in the Three Gorges Reservoir Region
Bibliographic record
Abstract
As a case study of purple soil on typical slope lands in the Three Gorges Reservoir region,this paper primarily explores trace element contents in purple soil and their changes under the different grades as well as the different land-use types.The result shows that the contents of Fe,Mn,Ni,Zr,Sr and Ti in purple soil in the Three Gorges Reservoir region are higher than the background values of purple soil(A layer) in China and the average value of all the soil(A layer) in Sichuan,that of Mo is very rich,but those of Zn and Pb are lower relatively than the ones of Sichuan and China.Contents of Pb,Cu and Co are decreasing along with grade increase among some grades.By contraries,the contents of Zr and Cr are increasing.The contents of Cu,Pb,Co,Ti,Zr,Ni,Cr,Sr,etc.in purple soil have some correlations with the changes of slope grades.Difference of trace element contents is remarkable between cultivated land and uncultivated land.The man-made activities are primary factors leading to the changes of trace element contents of purple soil in the Three Gorges Reservoir region.
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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) | 0.000 | 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 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".