Overview of Ni-Cu-(PGE), Cr-(PGE), and Fe-Ti-V magmatic mineralization in the Superior Province: insights on metallotects and metal endowment
Bibliographic record
Abstract
The Archean Superior Province is well known for its metal endowment. Ultramafic and mafic intrusions/flows are ubiquitous in greenstone belts across the Superior Province and are prospective hosts for magmatic Ni-Cu-(PGE), Cr-(PGE), and Fe-Ti-V deposits, although their abundance and endowment vary widely among the terranes/domains. For example, the Abitibi-Wawa terrane contains numerous but generally small Ni-Cu-(PGE) deposits, a few large Fe-Ti-V deposits, and only rare Cr mineralization. The Bird River-Uchi-Oxford-Stull-La Grande Riviere-Eastmain (BUOGE mp;lt;"superdomainmp;gt;") domains are characterized by several moderate to very large chromite deposits, a few moderate to small Ni-Cu-(PGE) deposits, and a few potentially large Fe-Ti-V deposits that are characterized as prospects due to the lack of definition drilling. The other terranes/domains in the Superior Province, including the Au and Cu-Zn-Aurich Abitibi belt, contain some magmatic Ni-Cu-(PGE) and Fe-Ti-V mineralization, but no significant Cr- (PGE) mineralization. Many factors are responsible for the variable metal endowment, but some critical features appear to be particularly important and may define prospective Ni-Cu-(PGE), Cr-(PGE), and/or Fe-Ti- V metallotects. These include the presence of (1) abundant primitive mantle-derived magmas that were generated by large magmatic events over short durations; (2) magma compositions that favoured the generation of Ni-Cu-(PGE) (high-Mg komatiitic), Cr (low-Mg komatiitic), and Cu-Ni-PGE and Fe-Ti-V (basaltic) mineralization; (3) transcrustal discontinuities that focussed magma flow through the lower crust; (4) shallow structures and densities that favoured emplacement of channelized lava/magma conduits at relatively high levels, (5) high magma fluxes to promote thermomechanical erosion of crustal rocks; (6) high-level crustal rocks containing sulphur (e.g. sulphide-facies iron formation) and oxide (e.g. oxide-facies iron formation) reservoirs for generating and upgrading sulphide xenomelts and oxide xenocrysts; and (7) favourable deformation and erosion to preserve and expose prospective units for exploration. Targeting base and precious metals is challenging, even in well endowed but partially exposed greenstone belts. However, understanding these fundamental controls will help in the discover of additional resources in other frontier areas within the Superior Province and throughout the Canadian Shield.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".