Geochemistry of Sphalerite from Pine Point, NWT, Canada
Bibliographic record
Abstract
Critical metals have become indispensable in the transition towards clean and sustainable energy. The Pine Point Pb-Zn district, located in the North-west territories of Canada has been described as a low temperature MVT deposit. These are known to host significant concentrations of critical metals such as gallium (Ga), germanium (Ge), and indium (In). Prior research has identified that Ga and Ge tend to be concentrated in low-temperature deposits, whereas In is predominantly associated with high-temperature environments. A study on the concentrations of these elements in various deposits indicated enrichment of In at Pine Point; however, the factors influencing its enrichment and distribution remain unclear. In recent years, the laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has become an indispensable tool for the investigation of trace element concentrations. In this study, we employ the use of the electron microprobe and the LA-ICP-MS to quantify the concentration of critical metals at Pine Point and to identify the potential geological controls influencing their distribution. Sphalerite at Pine Point is enriched in Fe, Cd, Mn, Pb, Ga, and Ge, most of which show smooth ICP-MS signals, indicating their presence as solid solutions in the mineral. Elements such as Cu, Co, Ag, and Tl are most likely present as mineral inclusions, and little to no traces of In was found at Pine Point. Early, colloform sphalerite is generally enriched in gallium, while germanium shows a preference for both colloform and later formed, iron-rich, coarse sphalerite. We posit that Ga prefers early, colloform sphalerite, possibly due to rapid sulphide deposition associated with this texture. Correlation plots show a slight positive correlation between Ge and Fe (0.26), suggesting a coupled substitution of Ge4+ + 2Fe2+ + vacancy ↔ 4Zn2+.
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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 | 0.002 |
| 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) | 0.001 | 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".