An overview of gold grain distribution and geochemistry of till, Yellowknife Greenstone Belt, Northwest Territories
Bibliographic record
Abstract
Ongoing surficial geology studies and geochemical analyses of till and vegetation in the Yellowknife Greenstone Belt provide additional baseline data for mineral exploration and environmental studies. Soil profiles incorporating biogeochemical data may differentiate between elements from anthropogenic or natural sources. Newly recorded ice-flow indicators in areas of high mineral potential are consistent with regional southwestward ice movement of the last glaciation. Minor variations indicate property-scale local late-glacial flow from 230° to 255°. Gold-grain counts of the heavy-mineral fraction in till indicate background values over volcanic rocks of approximately 0 to 5 grains/10 kg of till. Significant concentrations of gold grains occur in till over some former mines, suggesting that visible gold-grain counts is a viable exploration method in the Yellowknife area. Anomalous concentrations of 20 to 30 gold grains/sample reflect potential exploration targets. Of particular interest are high gold-grain counts at locations underlain by metasedimentary terrain in the Banting and Walsh lakes areas.
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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 | 0.003 | 0.004 |
| 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) | 0.002 | 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".