Characteristics of Ni-Cu-PGE sulphide mineralization within the 1.1 Ga Midcontinent Rift
Bibliographic record
Abstract
Magmatic Ni-Cu-PGE deposits of the ca. 1.1 Ga Midcontinent Rift system occur in association with a diverse range of ultramafic-mafic intrusions, from small early rift conduits to large, layered, mafic intrusions such as the Duluth Complex. The nature and style of mineralization is variable throughout these intrusions, some conduit deposits such as Eagle and Tamarack host massive nickel-copper sulphides, whilst others are relatively sulphur-poor but show extreme PGE enrichment (e.g. Current Lake; Marathon Deposit of the Coldwell Complex). The addition of external sulphur (Proterozoic and/or Archean) is considered critical in the formation of many of the Ni-Cu-PGE deposits; however, the key factors controlling the style of mineralization and the base and/or precious metal content are yet to be determined. This research aims to address the processes that are fundamental for metal enrichment and how these may vary both temporally and spatially during the rift's development. Furthermore, the Midcontinent Rift provides an excellent base to study the critical differences between mineralized and unmineralized intrusions, therefore providing the opportunity to assess key controls on metal endowment.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".