Bibliographic record
Abstract
Mineralogical controls on the long-term stability of arsenic were studied in arsenic-rich uranium mine tailings deposited in the Rabbit Lake in-pit tailings management facility, northern Saskatchewan, Canada. Three-dimensional, reactive multi-component transport modeling of the RLITMF and the surrounding groundwater regime was conducted using geochemical field-based data, synchrotron X-ray absorption studies and laboratory-based diffusion cell experiments to quantify the fate and long-term (10,000 year) transport of arsenic. Results showed that adsorption of arsenic to the tailings and diffusive transport of dissolved arsenic in the tailings should reduce the source term concentration of arsenic to between 39 and 70% of the initial concentrations over the 10,000 year simulation period. Based on these simulations, the arsenic concentrations in the regional groundwater should be maintained at background concentrations of 0.001 mg/l over the 10,000 year period. These findings indicated that the engineered in-pit disposal of U mine tailings should provide long-term protection for the local groundwater regime from arsenic contamination.
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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) | 0.000 | 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".