1 Peat groundwater as a medium for surficial geochemical exploration
Bibliographic record
Abstract
ABSTRACT: Kimberlite-specific chemical responses are visible in shallow peat groundwater over kimberlites from the Attawapiskat region in the James Bay Lowlands, Canada. These chemical responses are visible due to the physical movement of deeper groundwater that has interacted with kimberlite and migrated through the Tyrell Sea sediment into shallow peat groundwater. The presence of elevated values of electrical conductivity, CaCO3 saturation index, Ca, and alkalinity indicate groundwater upwelling. Upwelling groundwaters that have high concentrations of Ni, Cr, Fe, Mg, and REEs are likely due to water-kimberlite rock interactions rather than interactions with limestone, or Tyrell Sea sediment. Some of these elements may behave more conservatively in peat groundwaters and are sometimes observed down the horizontal hydraulic gradient. This study has also determined that it is preferable to collect peat groundwater samples deeper into the saturated zone where waters are more reducing and are likely to have higher concentrations of elements. Increased depth into the saturated zone provides better groundwater geochemical resolution between locations of high element contents and lower contents along transects. More oxidized groundwaters near the surface tend produce oxyhydroxides that can adsorb to peat and lower element concentrations in peat groundwater.
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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 | 0.000 |
| 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) | 0.002 | 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".