DEEP-PENETRATION GEOCHEMISTRY- COMPARISON STUDIES OF TWO CONCEALED DEPOSITS
Bibliographic record
Abstract
Deep-penetrating geochemistry concepts and methods have been developed for exploration of concealed ore deposits. A Deep-penetrating geochemistry research project is designed to sharpen the techniques through comparison of the methods in various concealed deposits. This paper describes the comparison results of four methods including the Selective Leaching of Mobile Metals (MOMEO), Mobile Metal Ions (MMI), Enzyme Leach and Electrogeochemistry methods. The results show that strongly anomalous values are corresponding to the concealed deposits under 200 meters of post-ore sedimentary rocks and desert sand. Selective leaching of metals occluded in Fe-Mn oxide coatings and electrogeochemical extraction of ions are both effective for indicating to concealed deposits in arid desert terrain. Chinese MOMEO method is more effective than Canadian Enzyme Leach method and Australian MMI method in the Mike gold deposit.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 teacher head, 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".