Glaciation-induced radionuclide release: Implications for geological disposal of nuclear waste
Bibliographic record
Abstract
Abstract Deep geological disposal of used nuclear fuel requires knowledge of how radionuclides behave over ~100 k.y. to 1 m.y. timeframes. New data from the Kiggavik uranium deposits, a natural analogue for deep geological disposal of nuclear waste, shows that oxidized subglacial waters may be injected deeply into the subsurface along fracture systems, resulting in limited radionuclide mobilization. Periods of radionuclide mobility correspond to episodes of climate change during glacial periods and occurred over ca. 36–471 ka time scales comparable to the evolution of Homo sapiens. While oxidized subglacial waters may pose a hazard to geologic disposal, resulting uranium transport is millions of times slower than glacial movements and short-range (<~5 cm). Reduction by preexisting uranium minerals and titanium oxides and adsorption onto clay minerals have effectively trapped radionuclides.
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 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 | 0.000 | 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 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".