Glacial stratigraphic, till geochemical, and indicator mineral studies at the Sisson W-Mo and Mount Pleasant Sn-W-Mo-Bi-In polymetallic deposits, southwestern New Brunswick
Bibliographic record
Abstract
During the Geological Survey of Canada's (GSC) Targeted Geoscience Initiative (TGI 4; 2010-2015), GSC and the New Brunswick Department of Energy and Mines (NBDEM) conducted indicator mineral case studies around the Sisson W-Mo and the Mount Pleasant Sn-W-Mo-Bi-In polymetallic deposits in New Brunswick. The objective is to document glacial dispersal patterns of W, Mo, Sn, and In-bearing indicator minerals and matrix geochemical signatures in till at varying distances down-ice of the deposits, in support of exploration in New Brunswick and other glaciated terrains. This is the first study to document glacial dispersal of W-bearing minerals around a significant W deposit. At Sisson, 3 tills are present: Illinoian Northumberland till, Early-Middle Wisconsinan Caledonia till, and the geochemically barren, Younger Dryas, Collins Pond till. This presented sampling challenges as the tills are deposited by ice flows from different source areas and are geochemically distinct but not easy to distinguish. At Sisson, 79 bulk till samples were collected up-ice, overlying, and up to 14 km down-ice (SE) of the deposit. The distribution of sample sites was guided by previous sampling by Kidd Creek Mines and the NBDEM. Stream water, silt, and bulk samples were collected at 16 sites at Sisson to characterize scheelite abundance, size, and shape for comparison with grains in the till. At the Adex-owned Mount Pleasant deposit, 22 bulk till samples were collected. Here, sampling was guided by previous work conducted by N. Szabo (University of New Brunswick) and the NBDEM. Till sampling was optimized by first collecting 200 g till samples (61 at Sisson and 50 at Mount Pleasant) and determination of W, Mo, Sn, Bi, Sn, and Cu concentrations, using a portable XRF (pXRF) spectrometer. At Sisson, anomalous pXRF concentrations match previously known NBDEM anomalies in the glacial dispersal train extending 14 km to the SE, and correlate well with subsequent borate fusion and aqua regia/ICP-MS analyses of the <0.063 mm fraction of till (up to 815 ppm W, 65 ppm Mo, and 978 ppm Cu). Till, stream, and a suite of bedrock samples have been processed to produce heavy mineral concentrates for assessment of indicator minerals and to characterize the indicator mineral signature of each deposit. Scheelite is abundant in both deposits, and a significant indicator mineral in till down-ice. Other indicator minerals of the Sisson deposit include molybdenite, chalcopyrite, wolframite, Bi minerals, sphalerite, and galena. Cassiterite, topaz, beudantite, anglesite, and wolframite are indicators of the Mount Pleasant deposit.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".