Early curing age paste backfill exposures – the role of effective stress
Bibliographic record
Abstract
This paper presents results from a numerical modelling exercise that looks at vertically exposing sub-28-day cemented paste backfill. The reason for this exercise is that underground mining operations would like to start exposing cemented paste backfill (CPB) earlier in order to increase production. However, these earlier exposures would mean that the pore water pressures in the stope may not have fully dissipated, hence entering an effective stress state versus a total stress state. The goal of this paper was to examine how effective stress impacts these early exposures. This was done by modelling the filling and the subsequent pore water dissipation within a stope. This modelled CPB was then vertically exposed, using both effective and total stress models, at various times ranging from immediately after filling to 28 days after filling. The results of these models were then compared in order to determine what difference there was between the overall outcome.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".