Geological controls of BIF-hosted gold mineralization: insights from the world-class Musselwhite (Ontario) and Meadowbank (Nunavut) deposits, Canada
Bibliographic record
Abstract
Banded iron formation (BIF)-hosted gold deposits have the potential to form giant mines. They are structurally controlled stratabound deposits that represent one of the main targets for gold exploration in the northern part of the Precambrian Canadian Shield. Research is conducted on the world-class BIF-hosted Musselwhite (Ontario) and Meadowbank (Nunavut) gold mines in order to define key exploration vectors. The Musselwhite deposit is hosted in polydeformed amphibolite facies BIF of the Mesoarchean North Caribou greenstone belt, Superior Province. The Meadowbank deposit is hosted in BIF and volcaniclastic successions of the polydeformed and metamorphosed Neoarchean Woodburn Lake Group, Churchill Province. Detailed mapping and U-Pb geochronology of these gold deposits reveal a very complex structural setting with several strain increments and polyphase folding adjacent to major fault zones. The ore zones are associated with high strain zones concentrated along hinges and strongly attenuated fold limbs. The location of ore zones is influenced by competency contrasts between rock types and the layered anisotropy of host units induces structural complexities pre- and post-Au deposition. Major fault zones, associated folds and specific silicate facies exert fundamental controls on the spatial distribution of ore zones in BIF-hosted deposits.
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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 | 0.002 |
| Science and technology studies | 0.002 | 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) | 0.001 | 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".