Non-vertical cave and dilution modelling at New Gold’s New Afton Mine
Bibliographic record
Abstract
New Gold’s New Afton Mine currently operates two separate caves: the West Cave and the East Cave. Both caves have seen external dilution and other symptoms of non-vertical cave growth towards the south. This non-vertical cave growth is believed to be caused by the weak picrite rock mass in the hanging wall. A geochemical analysis of the picrite unit identified marker elements that provided insight into the concept of non-vertical cave growth to the south; dilution pathways were identified, and the increase in picrite at certain locations across the footprint was incorporated into modelling the cave development. Advanced modelling techniques using Dassault Systèmes’ PCBCTM were employed to better model the complex flow behaviour. In the West Cave, the modelled draw cones were tilted to match the surface expression of the observed subsidence. In the East Cave, phantom drawpoints and forced cave backs were used to create a dilution model reflecting the picrite geochemical data. Both non-vertical PCBC cave models show improved reconciliations compared to the standard vertical mixing models. This paper outlines the methodology used in modelling the complex flow behaviour experienced at New Afton Mine, and the improved grade reconciliation between the standard vertical mixing model and a non-vertical mixing model.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".