Geochemistry of rare earth elements in soils under different land uses in a typical karst area, Guizhou Province, Southwest China
Bibliographic record
Abstract
Understanding soil erosion processes under different land uses is important for predicting and controlling watershed soil losses, especially in karst areas. Five soil profiles and 55 soil samples were collected from soils that were under different land uses in a typical karst catchment, Southwest China. The total contents of rare earth elements (REE) are significantly lower (<100 mg kg−1) than the average value of soils in China (181 mg kg−1). The enrichment degree of REE in heavy REE is much higher than that of light REE in all soil samples. A positive Ce anomaly (∼1.4) and a slightly negative Eu anomaly (∼0.95) were found. The enrichment and release of REE are partly controlled by pH, distribution of REE in bedrocks, contents, and adsorption ability of organic matters in weathering profiles.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".