Integrating field data, petrography, and induced polarization geophysical survey for 3D modeling and delineation of gold mineralization targets in Bissiang area, Nyong group, Cameroon
Bibliographic record
Abstract
Stream sediments sampling, lithological observations and induced polarization (IP) survey were carried out in Bissiang area, located at the northwestern border of the Congo Craton in Cameroon. The aim of the study was to delineate potential gold targets through the integration of field, petrographic, and geophysical data. Most stream sediment samples yielded alluvial gold particles, suggesting a mineralized catchment composed of quartzite, schist, and gneiss. Inverted chargeability sections helped identify Very High Chargeability (VHC) and High Chargeability (HC) domains, interpreted as potential primary and secondary gold targets, respectively. Their spatial correlation revealed a N-S-trending anomaly affected by a dextral fault, and a 3D model of the VHC (25–44 mV/V) and HC (15–25 mV/V) domains was developed. The volume of the primary VHC targets was estimated at 340,388,500 m 3 and that of the secondary or HC targets at 705,358,000 m 3 . These results provide a basis for further exploration and drilling campaigns.
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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 | 0.000 | 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) | 0.001 | 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".