Karakteristik Geologi, Alterasi Hidrotermal Dan Mineralisasi Daerah Penyompa, Kecamatan Rantau Pulut, Kabupaten Seruyan, Provinsi Kalimantan Tengah.
Bibliographic record
Abstract
The characteristics of the ore deposit will be greatly influenced by the geological conditions of the area. Surface manifestations of an ore deposit can be identified by the presence of alteration and mineralization zones. The study of alteration zones and mineralization will assist in making an exploration plan for an ore deposit. The purpose of this study is to determine the geological conditions in more detail, and the potential for ore deposits in the study area by alteration, mineralization, and rock geochemistry. Field data collection techniques include geological mapping, and laboratory analysis includes geochemical analysis using the Fire Assay Atomic Absorption Spectrophotometry (FA-AAS) method. The study shows that the lithology of the study area is volcanic rocks composed of andesitic intrusive rocks, diorite rocks, granite rocks, and pyroclastic rocks in the form of breccias. Hydrothermal alteration that develops in the study area can be divided into four zones of alteration type, namely: silicification zone (quartz ± kaolin ± pyrite), argillic zone (kaolin ± quartz), inner propylitic zone (quartz ± chlorite ± epidote ± albite ± pyrite), and outer propylitic zone (quartz ± chlorite ± epidote). Based on the lithology and type of alteration found, it is known that the type of deposit in the study area is part of Cu-Au porphyry deposits in the retrograde and post-mineral alteration stages based on the model of Corbett (1854). Mineralization potential in the study area includes pyrite-sulfide potential, hematite potential with paramagnetic properties, and hematite oxide potential. The results of the geochemical analysis showed that the research area had the highest levels of 0.02 ppm Au, 0.8 ppm Ag, 20 ppm Cu, and Fe <100 ppm.
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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) | 0.002 | 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".