Integrated geophysical data for 2D/3D gold target delineation in the Bidou area, Nyong Group, Cameroon
Bibliographic record
Abstract
The Bidou area is located within the polymetallic province of the Nyong Group (southwestern Cameroon), which is structurally controlled by N–S to NNE–SSW-trending regional structures. This study aims to delineate the 2D/3D geometry of potential primary gold mineralization targets by integrating magnetic, radiometric, and electrical (IP/resistivity) geophysical data. Interpretation of the vertical derivative and analytical signal of the reduced-to-pole magnetic field highlights a well-defined N–S to NNE–SSW magnetic anomaly corridor interpreted as a potential primary gold-bearing structure. Radiometric analysis of the K/Th ratio map reveals a thorium anomaly spatially coincident with this magnetic corridor, suggesting thorium mobilization related to hydrothermal processes. Inverted IP/resistivity sections identify very high and high chargeability domains spatially associated with low to very low resistivity zones, interpreted as altered structures, clay-rich zones, and sulfide-bearing metamorphic units potentially associated with gold mineralization. Three-dimensional correlation of the chargeability sections enabled the construction of a 3D model of the very high chargeability (VHC: 50–590 mV/V) and high chargeability (HC: 20–50 mV/V) domains, with estimated volumes of approximately 2.25 × 10⁹ m³ and 1.85 × 10¹⁰ m³, respectively. The individual VHC model further confirms the persistence of the N–S to NNE–SSW anomaly corridor at depth. These results demonstrate the effectiveness of an integrated geophysical approach for first-order gold exploration targeting in structurally complex Precambrian terrains.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".