TRACE ELEMENT GEOCHEMISTRY OF ENARGITE IN THE MANKAYAN DISTRICT, PHILIPPINES
Bibliographic record
Abstract
We report the first laser ablation-inductively coupled plasma-mass spectroscopy (LA-ICP-MS) study of trace element substitution in enargite. Results indicate significant variability in the composition of enargite samplesfrom a single ore system. Samples come from the Mankayan district, Philippines, which hosts the Lepanto high-sulfidation Cu-Au deposit, now mined out, and the adjacent Far Southeast porphyry Cu-Au deposit; the genetic relationship between these deposits has been documented in previous studies. LA-ICP-MS analysesindicate significant incorporation of Sb and Fe in enargite (locally exceeding 1 wt %). Other elements such as Bi, Sn, Se, Te, Ag, and Zn occur at concentrations exceeding 0.1 wt percent. The distribution of selected traceelements in enargite correlates with previously published variations in fluid inclusion homogenization andmelting temperatures and gas compositions. The spatial distribution of data indicates enargite is enriched inAu and Te close to the Far Southeast porphyry. Enargite is enriched in Silver, Fe, and Pb in the center of Lepanto,and Zn ( Cd) is enrich the ore distal to the Far Southeast porphyry. Locally elevated Sb contents occurin samples from subsidiary branch vein structures and may indicate that mineralizing fluids along these structureswere modified compared to those that formed the main orebody.
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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) | 0.001 | 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".