A mineralogical and geochemical investigation of sulfide mineralization in the McConnell Ni-Cu-PGE occurrence, McConnell Offset Dyke, Garson Mine area, Sudbury, Ontario, Canada
Bibliographic record
Abstract
The Sudbury mining camp hosts the largest and only known impact-related metallogenic system in the world, containing significant resources of Cu-Ni-platinum group element-rich sulfide mineralization. The undeveloped, Vale-owned McConnell concentric offset dyke hosts low Ni grade magmatic Ni-Cu sulfide mineralization with unusually high PGE tenor, showing marked differences in mineralogy and geochemistry compared to other South Range offset-type deposits. This study shows that: (i) the low As, Ni, and high PGE in bulk assays and Co and Pd-rich pentlandite in the ores reflects an unusual evolution of the McConnell sulfide melt explained by three possible models, or a combination of models (“uncontaminated”, “locally enriched”, and “late-stage” sulfide melts); (ii) a post-crystallization hydrothermal fluid passed through the system, remobilizing Ni and Pb within the deposit and altering primary ore mineralogy forming pyrite and marcasite; and (iii) the McConnell ores crystallized from an O-rich Ni-poor sulfide melt, as reflected by magnetite geochemistry.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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".