Mineral and geochemical signatures of porphyry copper mineralization: work in progress for the Casino Cu-Au-Mo-Ag porphyry deposit, Yukon
Bibliographic record
Abstract
This paper reports preliminary results for a detailed indicator mineral and geochemical study of the Casino porphyry Cu-Au-Mo-Ag deposit, one of the largest and highest grade porphyry deposits in Canada. The calc-alkaline porphyry is hosted in a Late Cretaceous quartz monzonite and associated breccias in the west central Yukon. This deposit is an ideal study site because it has not yet been disturbed by mining, contains tourmaline, and metal-rich stream sediments were previously identified around the deposit. At 22 sites around the deposit, one bulk stream sediment sample for recovery of indicator minerals, two water samples and one stream silt sample for geochemical analysis, and one pebble sample were collected. Preliminary results indicate that chalcopyrite, pyrite, gold, molybdenite, sphalerite, scheelite and tourmaline in the heavy mineral fraction of stream sediments are indicators of the porphyry mineralization and demonstrate that indicator mineral methods are a viable exploration tool in this unglaciated terrain. The geochemical signature of the deposit is best defined by Ag, As, Au, Bi, Cd, Cu, Fe, Mn, Mo, Pb, U and Zn in stream silt (<0.177 mm), a well-established exploration method in the region, and by Cd, Co, Cu, Mo, Pb and Zn in stream water, a new tool for mineral exploration.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".