A geological, petrological, and geochronological study of the Grey Gabbro unit of the Podolsky Cu-(Ni)-PGE deposit, Sudbury, Ontario, with a focus on the alteration related to the formation of sharp-walled chalcopyrite veins
Bibliographic record
Abstract
The Canadian Ni-Cu-PGE-Cr ore systems project, under the fourth phase of the Targeted Geoscience Initiative (TGI-4), spanned a breadth of ore deposit types, tectonic environments (crustal boundaries, suprasubduction zones, astrobleme, intracratonic rift), and processes of formation (magmatic to hydrothermal). This report summarizes key project activities for six mineral districts completed by a collaborative group of more than fifty contributors from the GSC, four provincial geological surveys, academia, and industry to develop and refine genetic models and exploration techniques to determine fertility and pathfinders. Sixty-six new age determinations provide important geochronological constraints to build and refine models for many Cr-(PGE), Ni-Cu-PGE, Cu-PGE, and Fe-Ti-V-(P) prospective and fertile regions. These include Ni-Cu-PGE in convergent-margin settings, Cr in the Bird River and McFaulds Lake ("Ring of Fire") greenstone belts, Cr in La Grande Rivière-Eastmain domains, Cu-PGE in Midcontinent Rift, and Ni-Cu-PGE in the enormous Sudbury mining district. New exploration techniques to detect fertility using advanced mineral chemical microanalytical techniques and discriminant diagrams were developed for oxide phases (chromite, magnetite) in barren and fertile intrusions through examination of Canada's districts (Sudbury Igneous Complex, Ontario; Voisey's Bay, Labrador and Newfoundland) and Archean komatiite (Alexo, Abitibi). The first in situ determination of actual ore-metal concentrations from an early trapped melt hosting a major mining district was completed. Various new indicator minerals and assemblages, such as apatite, biotite, and epidote-amphibole-titanite assemblages, were identified with distinctive chemistry to aid in vectoring towards buried Ni-Cu-PGE and Cu-PGE mineralization.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| 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".