Alteration vectoring to IOCG(U) deposits in frontier volcano-plutonic
Bibliographic record
Abstract
Iron Oxide Copper-Gold (±U-Ag-Co-Bi) deposits (IOCG) and the uranium-rich ones (IOCG(U)) provide a relatively new and exciting exploration opportunity in Canada. They are, however, challenging as most prospective Canadian settings are frontier felsic-to-intermediate volcano-plutonic terrains mapped prior to the recognition of the IOCG deposit-type in the 1990’s. On-going research on stunning exposures of IOCG(U) alteration patterns in the Great Bear magmatic zone (NWT) demonstrates that the hydrothermal alteration footprint related to IOCG(U) m i neralization demarcates prospective regions and, within these regions, can point to mineralization. Non-mineralized, but regionally significant alteration types include: 1) early and intensive sodic alteration distal to mineralization and most proximal to intrusive heat sources; 2) in their periphery and away from intrusions, extensive calcic-iron (magnetite-actinolite-apatite) alteration that is commonly texture-destructive and coarse-grained, and; 3) subordinate vein-type overprint or laterally-extensive mild potassic alteration. Alteration types proximal to mineralization start where intensive replacement-type K-feldspar or biotite alteration, with magnetite at first, develops. In these zones, brecciation and polymetallic sulphide enrichments are coeval to, or slightly post-date the potassic alteration. Such zones can also be affected by skarn-like calc-silicate alteration, late-stage K-feldspar overprint and hematite alteration with their associated mineralization. Porphyry copper alteration systems and some types of epithermal mineralization are also clearly associated with the significant IOCG systems. The
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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 | 0.000 |
| 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".