New Developments in Diffusion Measurements Using Laboratory-Based X-Ray Sources
Bibliographic record
Abstract
Measurements of diffusion and sorption properties of rocks are key aspects of site characterization for a deep geological repository. Knowledge of diffusion properties is required for engineered barriers and for geologic materials in the near and far field surrounding a proposed geologic repository. Accordingly, diffusion investigations are commonly conducted at a variety of scales, ranging from 10s of mm to 100s of m. This work is focused on measurements conducted at the laboratory scale, most often using samples of drill core. In the context of radioactive waste management, X-ray radiography methods have been in use for decades The measurements have the advantage of being rapid and they provide time-and spatially-resolved tracer data. Studies commonly employ iodide as a tracer because it has a high Xray absorption cross section and it is transported conservatively in most geologic materials, but X-ray radiography has also been applied to study reactive transport of cesium Here we report on two new developments; i) X-ray absorption measurements using energy-dispersive X-ray spectrometers, and ii) a radiographic method suitable for low porosity rocks.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".