PRELIMINARY MAMINATION OF GOLD METALLOGENY IN THE INSULAR BELT OF THE CANADIAN CORDILLERA USING GALENA-LEAD ISOTOPE ANALYSES
Bibliographic record
Abstract
Lead isotope data from quartz-gold vein deposits and volcanogenic and related deposits in the Insular Belt group fall in four distinct clusters on Pb-W plots. Each cluster corresponds to a specific deposit type and host rock category. Two parallel evolutionary trends in the lead isotopic composition exist: (1) Sicker-hosted volcanogenic deposits to Sicker-hosted veins, and (2) Karmutsen and Bonanza-hosted volcanogenic or paramagmatic deposits to Karmutsen and Bonanza-hosted veins. The trends indicate a genetic relationship between host rock and isotopic composition. These observations favour a host rock source for the lead in vein deposits and, by association, a comparable source for gold. Plutonic or abyssal direct sources of metals are not consistent with the lead isotopic data. We suggest that the gold was extracted from the country rock, concentrated as veins by hydrothermal activity related to Tbrtiary plutons. Vein deposits are isotopically distinct from volcanogenic and related deposits, providing a model for distinguishing syngenetic from epigenetic deposits in a general way. Karmutsen and Bonanza-hosted deposits are more depleted in 207Pb than similar deposits in Sicker Q-oup rocks, indicating significantly different sources for volcanic components of these two important rock units.
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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 | 0.003 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".