Till geochemical signatures of the Pine Point Pb-Zn Mississippi Valley-type district, Northwest Territories
Bibliographic record
Abstract
Exploration for base metal deposits using till geochemistry and indicator mineral methods has been the focus of many studies initiated in recent years. The University of Alberta, Geological Survey of Canada, Tamerlane Ventures Incorporated, and Teck Resources Limited are examining the indicator minerals and till geochemistry that characterize glacial dispersal from the Pine Point Mississippi Valley-type (MVT) district, Northwest Territories. This case study documents the clastic glacial dispersal down-ice from the O-28 former open pit mine. Aqua regia digestion/ICP-MS analysis of the <0.063 mm fraction of till identify Zn, Pb, Cd, Fe, Tl, S, and Se as the pathfinder elements associated with Pit O-28 in the Pine Point MVT district. Concentrations of Zn, Pb, and Cd are highest directly down-ice of the subcropping mineralization in the direction of the earliest recorded ice-flow trajectory (~230°). This geochemical signature does not appear detectable at the surface. This may be due to extensive till cover and dilution by multiple ice-flow trajectories, or due to the extensive winnowing and reworking of the till surface by glacial Lake McConnell that inundated the region during deglaciation.
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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) | 0.001 | 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".