Soil Organic Matter Impacts upon Fluxes of Cadmium in Soils Measured using Diffusive Gradients in Thin Films
Bibliographic record
Abstract
Classical analytical methods limit understanding of the dynamics of geochemical processes in soils. The technique of diffusive gradients in thin films (DGT) allows the quantification of the mobilization fluxes of traces metals in soils and more specifically the metal supply from the soil's solid phase. Diffusive gradients in thin films, measuring fluxes from soil solids to solutions, were reported in three different cadmium (Cd)–contaminated soils with different levels of soil organic matter (SOM). The soil solution concentration ratio between the labile Cd, determined using differential pulse anodic stripping voltammetry, and the total Cd obtained by inductively coupled plasma–atomic emission spectrometry was compared. The data suggest that SOM affected the complexation of Cd in the soil solution, and the values obtained by DGT also demonstrated that the sorption of the Cd to the solid phase was also affected. The fluxes of Cd into the DGT were decreased when organic matter was added to the soils but were also decreased when SOM was reduced using hydrogen peroxide (H2O2).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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".