Exploring for Carbonate‐Hosted Ore Deposits Using Carbon and Oxygen Isotopes
Bibliographic record
Abstract
Carbonate-hosted ore deposits often have very limited mineralogical and lithogeochemical alteration halos, as the highly reactive carbonate host rocks neutralize acidic hydrothermal fluids, limiting the ability of those fluids to cause hydrothermal alteration or transport pathfinder elements into the surrounding rocks. However, carbon and oxygen stable isotope ratios in the rocks surrounding carbonate-hosted ore deposits often record large alteration halos (on the order of hundreds of meters to kilometers) which can be used to identify and vector toward ore bodies. In this contribution we review the theory of carbon and oxygen isotope alteration during hydrothermal fluid flow, and present various case studies carried out over the last 50 years which demonstrate stable isotope alteration in carbonate-hosted ore deposits. In particular, it is clear that world-class ore deposits, such as the Mount Isa Cu ore bodies, and the Carlin Trend gold deposits, are surrounded by very large (3–8 kilometre) oxygen isotope alteration halos. We discuss advances in analytical technology that make stable isotope analysis a practical tool for mineral exploration, and highlight potential future advances. Finally, practical details of sampling, and factors to consider before carrying out a stable isotope study are outlined.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".