A Comparison of Past Predictions to Current Conditions at Bell Mine, British Columbia,
Bibliographic record
Abstract
Abstract: Prior to mine closure in 1992, drainage chemistry at Bell Mine was assessed and predicted using a multifaceted study, including various geochemical static and kinetic tests. Also, a compilation of water monitoring data, known as an Empirical Drainage-Chemistry Model (EDCM), spanning many years showed repeating cycles, which allowed statistical assessment and predictions of future patterns. All this work showed that drainages from most of the waste-rock dumps, dams, and tailings impoundment were expected to become acidic within several decades, although many were near-neutral at the time of closure. Any water unacceptable for discharge would be pumped to the open pit, where it will be treated decades in the future as the pit fills. Predictions were made of pH and metal concentrations through many decades at various points around the site including the pit. In 1999, new geochemical studies were undertaken to determine if current conditions are close to the original predictions. Predictions deviated by no more than a factor of two from the average measured metal concentrations. In the pit, parameters are following the predicted trends. However, the degree of acid generation and downward migration of acidic water in the tailings mass is approximately 100 times less than predicted. This can be attributed to (1) the incorrect prediction based on one humidity cell that acid generation would greatly accelerate upon exhaustion of neutralization potential (NP), (2) incorrect short-term information that NP would be consumed relatively quickly at a ratio of 4:1 to acid generation, and (3) the incorrect assumption that the rate of acid generation was zero-order (i.e., independent of oxygen level and depth in the tailings). Except for the updated prediction of much less acid generation in the tailings, all other predictions remain essentially the same as stated in 1992.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".