Preliminary surficial geology studies and mineral exploration considerations in the Yellowknife area, Northwest Territories
Bibliographic record
Abstract
Surficial geology mapping and soil sampling in the Yellowknife area provide regional baseline data for geochemical exploration techniques and integrated environmental assessment planning. Till veneers are the most widespread surficial sediment, and have been modified by meltwater and glaciolacustrine processes, resulting in variable textures. Glaciolacustrine sediments are common in depressions and between bedrock ridges below 280 m a.s.l. Textural similarities between glaciolacustrine sediments and till hinder the recognition of these sediments as distinct map units. Consequently, geochemical signatures should be interpreted with caution. Eskers and glaciofluvial outwash can serve as potential aggregate resources. Dominant glacial flow directions correspond to the last southwestward ice movement. Minor variations indicate local late-glacial flow ranging from west-northwestward to south-southwestward. Glacial dispersal patterns of pebbles in till are not immediately apparent because of bedrock constraints. However, distributions strongly reflect predominant southwestward flow, predominance of metasedimentary clasts in till, and maximum transport distances of 150 km.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.004 | 0.001 |
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".