Experimentation study of the temperature-pressure effect on original gas transport in granite sample
Bibliographic record
Abstract
In order to investigate the gas transport behavior due to the rupture of rock, the granite sample from Creighton mine,Canada,was subjected to the temperature-pressure effects using the rock mechanics testing machine and a high resolution monitoring device. Its loading path is followed the characteristic for stress state changes in surrounding rock due to the deep mining. It is shown that some gas stored in cleat and pore was released with the increasing temperature. When the granite sample was splitting under the combination of temperature and pressure,the intensive acoustic emission was presented. The instantaneous occurrence of crack provided the gaseous reservoir to free gas,resulting in a gas pressure gradient between fracture and the environment due to gas pressure decrease. This change can be able to drive the gas back to the emerging crack. When the fracture network is filled with backflow gas,gas pressure rose back quickly. Some gas is released,such as CO2,CH4 and H2S. The confining pressure was applied on the deformed sample for squeezing the fracture from which large mounts of gas was ejected. The feature for the gas emission determined by the rupture of rock sample is discussed and analyzed.
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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 | 0.000 |
| 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) | 0.002 | 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".