The Role of Transverse Faults in Late Gold Mineralization: A Structural Study of the Maskinonge Lake Fault, Michipicoten Greenstone Belt, Ontario
Bibliographic record
Abstract
The Maskinonge Lake fault is a late NW-striking fault that occurs at a high angle to the structural features of the gold-producing Goudreau Lake Deformation Zone (GLDZ) in the Michipicoten greenstone belt. The fault is populated with zones of high-grade gold mineralization along its strike and represents an uncommon setting for orogenic gold deposits in the Superior Province. Three phases of fault movement (D4–D6) are identified that postdated the main structural features of the GLDZ (D1–D3). D4 dextral shearing resulted in the initiation of the Maskinonge Lake fault and the development of fault-parallel foliation. The fault was reactivated during D5 sinistral progressive brittle-ductile deformation and included the emplacement of steeply dipping fault-parallel quartz vein arrays and extensional en echelon veins. Structural analysis of these veins shows that structures associated with D5 deformation are subvertical and occurred during transpression. D6 sinistral faulting is responsible for the brecciation of earlier features and ~1 km of strike-slip stratigraphic displacement with little to no vertical movement. \nThe Pine-Breccia gold occurrence is found along the Maskinonge Lake fault and consists of rocks that have undergone pervasive silica alteration within the fault zone. The centre of the alteration halo contains a gold- and copper-bearing fault-filling “main vein”. Both the fault and main vein are located along the contacts of a NW-trending Matachewan dyke, while gold concentrations in the main vein are enhanced at the intersection between the Maskinonge Lake fault and ENE-striking shear zones. These structural controls provide additional constraints for favourable sites of mineralization along late high-angle transverse faults and support these structures as viable gold exploration targets.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".