Geochemistry of glacial sediments of the Bonaparte Lake map area (NTS 92P), south central British Columbia
Bibliographic record
Abstract
A total of 936 till and 14 glaciofluvial sediment samples were collected within the Bonaparte Lake map area of south central British Columbia with the objective of defining new potential areas for mineralization in bedrock. The clay and silt plus clay-sized fractions, along with the heavy mineral concentrates from these samples were submitted for geochemical analyses. Till composition is directly influenced by the underlying bedrock geology and ice-flow history of the last glaciation (Late Wisconsinan Fraser Glaciation). High concentrations of gold in till confirms that there is a high mineral potential for gold over the bedrock of the Quesnel Terrane and associated Mesozoic intrusive rocks which underlie a large part of the map area. Some of the high gold levels in till are not associated to known gold occurrences within the bedrock and therefore, are thought to reflect the presence of unknown mineralized zones. Base metal levels are high in till sampled above the Quesnel, Slide Mountain and Kootenay terranes. These results confirm the high potential for base metals in these geological terranes. High molybdenum levels were measured in till near the contact zone between Nicola Group bedrock and the Slide Mountain Terrane. This is an area where no molybdenum mineralization was previously reported and therefore, could be related to unknown bedrock mineralization. Rare earth elements, thorium and uranium levels in till are elevated in the region of the Early Cretaceous Raft Batholith. The distribution of these elements in till was influenced by glacial dispersal to the southwest during the advance of glaciers into the area. The small number of glaciofluvial sediment samples limits an interpretation of their regional composition. Results of the geochemical analyses of the glaciofluvial sediment samples are herein provided for comparison purposes only.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 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".