Regional geochemical survey of surficial sediment in southern Ontario: a geochemical baseline for environmental and human health assessment
Bibliographic record
Abstract
Low-density sampling and analysis of soil A- and BC-horizons and glacial till, establish a baseline to characterize geochemical background variation in glacial sediments across southern Ontario. Interpretation of these data reveal that regional-scale geochemical variation of earth materials is largely derived from bedrock, with the impact of weathering and soil formation being less significant. For example, geochemical provenance indicators (e.g., Paleozoic carbonate terrane with elevated CaO+MgO, versus Precambrian Shield terrane with elevated SiO2+Al2O3) distinguishes the influence of these source lithologies. Thus, interpretations of geochemical sediment surveys as a basis for geochemical modeling are best approached in terms of geological provenance, process, and weathering. Furthermore, because chemical concentration levels in surficial sediment is also directly related to analytical protocol, knowledge of both mineralogy and strength of chemical digestion is required to understand geochemical processes. This approach, of assessing all chemical variation, contributes greater certainty to risk assessment and decision-making in geochemical models related to environmental and human health protection.
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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 | 0.001 |
| 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".