Soil Wetting Processes Studied by Magnetic Resonance Imaging: Correlated Study of Contaminant Uptake
Bibliographic record
Abstract
The wetting of an air-dried sample of an organic rich soil, Mossy Point, has been studied by proton magnetic resonance imaging. Spin density maps demonstrate heterogeneity of the sample at the level of the volumes sampled by each image unit despite general procedures designed to produce homogeneous samples. Heterogeneity in transverse relaxation times can be shown in a histogram. One component of the histogram shows relaxation times that shift to shorter values over a period of many days. This indicated the slow penetration of some of the water into an environment of reduced water mobility. The water may be entering into, and perhaps forming, micropores or a water swollen gel. Study of the kinetics of uptake of two different pesticides (2,4-D and Atrazine) in slurries of the air-dried soil in aqueous solutions of the pesticides requires at least two kinetic components. The slower entry of both takes place over a time period comparable to, or a little less than, the slow water uptake. Despite significant difference in the pesticide structures, both have a slow uptake rate near that of slow water penetration.
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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 | 0.000 | 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".