Atlantic Universities Geoscience Conference 2015: 65th Annual Conference, October 22-24, 2015
Bibliographic record
Abstract
Many rock formations, particularly granitic rocks and sandstones of Devonian to Carboniferous age, may have an impact on the water quality of surrounding areas.Weathering and geochemical processes can mobilize uranium, which allows uranium to accumulate in ground water systems in concentrations above recommended guidelines established by Health Canada.It may also be possible that anthropogenic modifications can mobilize uranium from soil or rock.This study is focused on discovering the chemical agent or agents responsible for mobilizing uranium from uranium-bearing rocks in Nova Scotia.It is believed that both natural and anthropogenic causes may be behind uranium mobilization in some Nova Scotian locations.Road salt and sea water introduce ions into geologic formations that have a potential impact on uranium.Gypsum, either in the form of gyprock in construction waste or as naturally occurring geologic formations, introduces sulfate into bedrock and soil, which adds another variable to analyze.Ions such as chloride, calcium, sulphate, and bicarbonate will be analyzed in an attempt to isolate the variable (or variables) that mobilize uranium.A leaching experiment using ground rock samples and controlled extraction fluids will aim to isolate the geochemical process or processes responsible for the accumulation of uranium in Nova Scotia ground water.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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; both teacher heads agree on what is shown here.
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".