Geochemical exploration for Au using groundwater in the deep Canadian Shield
Bibliographic record
Abstract
Hydrogeochemical exploration is a promising technique that uses groundwater as a medium to explore for mineral deposits. To evaluate the potential of hydrogeochemistry for Au exploration in the Canadian Shield, we conducted a case study near the Windfall Au deposit, a deep (>1 km) intrusion-related deposit of world-class scale and grade. This unmined deposit, located in a remote area of the Abitibi subprovince, provides an ideal setting to investigate the hydrogeochemical signature of Au mineralization in a cold and humid climate. This study proposes a combined knowledge-based and data-driven multivariate approach to identify dissolved elements that compose the multielement footprint of the Windfall mineralization. Four distinct hydrogeochemical poles (clusters) are defined from hierarchical cluster and principal component analyses: (1) recharge groundwater; (2) recharge gold groundwater; (3) saline groundwater; and (4) saline gold groundwater. Multielement enrichment (Ag, Tl, Th, Sn, Bi, U, La, and Ce) associated with ore minerals or alteration minerals is observed in samples of the Au-bearing recharge and saline clusters, and is particularly striking for Ag, Tl, and Th. Gold-type cluster samples, representing the mineralization footprint, are found in an approximately 1 km wide ENE–WSW corridor centered around the Mazères fault, a major ENE-trending regional-scale structure.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".