Major- and trace-element geochemistry of chromite from Alaskan-type ultramafic-mafic intrusions in British Columbia
Bibliographic record
Abstract
Magmatic sulfide mineralization in ultramafic-mafic intrusions at convergent margins is becoming an increasingly important global resource of critical metals (Ni-Cu-PGE). In the Canadian Cordillera, a sub-class of convergent margin ultramafic-mafic intrusions, known as Alaskan-type intrusions, occurs in the accreted arc terranes of the North American continental margin. These intrusions have long been recognized for their chromite-associated PGE mineralization. However, their potential to host significant Ni-Cu-PGE sulfide mineralization and to be used in efforts to reduce greenhouse gas emissions through permanent carbon mineralization is becoming a focus of current research. This report describes the major and trace element compositions of dunite-hosted Cr-spinel (chromite), measured by Electron Probe Microanalysis (EPMA) and Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry (LA-ICP-MS). These data are part of the effort to better constrain the intrinsic petrological properties of magmas parental to Alaskan-type intrusions and evaluate their economic potential.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".