Dispersion of gold in stream sediments in the Sungai Kuli region, Sabah, Malaysia
Bibliographic record
Abstract
The distribution of Au in a Au-rich tributary of the Sungai Kuamut, Sabah, Malaysia, was studied initially by the authors in 1999 prior to disturbance of the tropical rain forest by logging. That study found: (i) a strong but extremely erratic Au anomaly with median values of 230 to 690 ppb in the fine and medium sand sized fractions from both cobble and gravel sites; and (ii) Au values typically <15 ppb in the −53 μm fraction. It was suggested that increased input of fine sediment into the stream after logging might substantially dilute and modify the Au anomaly. Logging of the drainage basin in 2000–2001 provided an opportunity to test this possibility. Results from sampling at gravel sites in 2001 show no dilution of Au values after logging. This is attributed to the occurrence of rainfall and flood events that counteracted dilution of the anomaly by releasing deeply buried Au and/or flushing excess fine sediment from the stream channel. It is concluded that the strength of Au anomalies in stream sediments is likely to fluctuate as a result of the interactions of rainfall events, stream discharge, and the effects of land disturbance on erosion.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".