ZTEM airborne AFMAG survey results over low sulphidation epithermal gold-silver vein systems at Gold Springs, south eastern Nevada
Bibliographic record
Abstract
SummaryA ZTEM (Z-Tipper Axis Electromagnetic) helicopter AFMAG test survey was conducted in April, 2011, over the Gold Springs Project, in south eastern Nevada, for low sulphide epithermal gold exploration. Previous ground CSAMT surveys at Gold Springs revealed a positive correlation between the known epithermal gold systems and buried, subvertically-dipping resistivity high features that extend to depth. Synthetic forward modeling showed that ZTEM could also be successful, provided topographic effects were accounted for.The ZTEM test results performed over the known epithermal gold prospect in southeastern Nevada appear to correlate very well with the CSAMT results and the known geology, in particular the presence of all the known epithermal centers over resistivity highs. Similar anomalies have been identified in previously unexplored areas of thicker overburden cover. 2D inversions of the airborne ZTEM, using a newly developed Avert2d code that accounts for bird clearance and 2d topography, appear to agree very well with the inversions obtained from ground CSAMT. These results provide encouragement for the application of ZTEM for epithermal gold deposits elsewhere in the district.
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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 | 0.000 | 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) | 0.001 | 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".