Application of pyrite chemistry to recognize a distal expression of hydrothermal activity in the MacMillan Pass SEDEX district, Yukon
Bibliographic record
Abstract
The Tom and Jason sedimentary exhalative (SEDEX) Pb-Zn-Ag-(Ba) deposits in Yukon grade 7.4 weight % and 7.0 weight % Zn, and 6.5 weight % and 4.6 weight % Pb, with zinc and lead tonnages of 15.7 and 10.1 Mt, respectively. Pyrite is ubiquitous in SEDEX deposits and can potentially reveal much information about the environment and nature of deposition, hydrothermal fluid properties, genesis of mineralization, and may provide vectors toward mineralization. Pyrite-bearing samples from three drillholes situated 2 to 4 km from mineralization (but time-stratigraphically equivalent) were sampled, and four generations of pyrite were identified (Py1, Py2, Py3, Py4), each with distinct morphological characteristics and mineralogical associations. Synsedimentary (Py1), diagenetic (Py2), hydrothermal (Py3) and metamorphic (Py4) morphologies were identified. A representative subset of pyrite grains was analyzed for trace element contents by laser ablation-inductively coupled plasma mass spectrometry using raster grids to create quantitative trace element composition maps, in order to characterize the trace element composition of each pyrite generation. A distal (2-4 km) expression of hydrothermal mineralization is recognized in Py3, which displays mineral associations and a trace element assemblage typical of hydrothermally precipitated pyrite. The trace element geochemistry of pyrite distal to SEDEX mineralization (and time-stratigraphically equivalent to it) displays enrichment in Zn, Mn, As and Co, and these elements are generally more abundant in Py3 than other generations, indicating the presence of nearby concealed mineralization.
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) | 0.000 | 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".