Geochemical composition of groundwater, surface water, permafrost porewater, and active layer porewater in samples from the Coffee gold deposit, Dawson Range, Yukon, Canada
Bibliographic record
Abstract
The data are associated with the article: "Seasonal controls on stream metal(loid) signatures in mountainous discontinuous permafrost" by Skierszkan,E.K.,Carey, S.K., Jackson, S.I., Fellwock, M., Fraser, C. & Lindsay, M.B.J. (2023). Seasonal controls on stream metal(loid) signatures in mountainous discontinuous permafrost, Science of The Total Environment, 908(167999). DOI: https://doi.org/10.1016/j.scitotenv.2023.167999. The data were used to investigate metal(loid) abundances and mobilization processes in water in a discontinuous permafrost region. The data consist of a compilation of analyses produced as part of baseline environmental monitoring at the proposed Coffee Gold Mine by its proponent, Newmont Corp, and supplemented with additional samples collected as part of a research project into geogenic metal(oid)s in permafrost regions led by Skierszkan et al. Additional useful references to understand the local geological and geochemical context are: Skierszkan, E. K., Dockrey, J. W., Helsen, J., Bataille, L.-L. F. C. P., de Laplante, G., McBeth, J. M., et al. (2021). Persistence of uranium in old and cold subpermafrost groundwater indicated by linking 234U-235U-238U, groundwater ages, and hydrogeochemistry. Earth and Space Chemistry, 5(12), 3474–3487. Skierszkan, E. K., Dockrey, J. W., Mayer, K. U., & Beckie, R. D. (2020). Release of geogenic uranium and arsenic results in water-quality impacts in a subarctic permafrost region of granitic and metamorphic geology. Journal of Geochemical Exploration, 217 (October 2019), 106607. DOI: https://doi.org/10.1016/j.gexplo.2020.106607 Kidder, J. A., McClenaghan, M. B., Leybourne, M. I., McCurdy, M. W., Pelchat, P., Layton-Matthews, D., & Voinot, A. (2022). Hydrogeochemistry of porphyry-related solutes in ground and surface waters; an example from the Casino Cu–Au–Mo deposit, Yukon, Canada. Geochemistry: Exploration, Environment, Analysis, 22(2), geochem2021-058. DOI: https://doi.org/10.1144/geochem2021-058
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".