Bibliographic record
Abstract
The friction-transfer method, which is described in this paper, can be used for in situ determination of intact rock strength. With this method it is possible to estimate the equivalent uniaxial compressive strengths (UCS), using appropriate calibration graphs. In this method a specially devised apparatus fits over the top the partial core and is clamped to it. To measure the rock strength, torque is applied using an ordinary torque meter and the maximum torque at failure is recorded. Comparative studies of UCS values and friction-transfer test results showed that a strong correlation exists between UCS and the friction-transfer readings. The measured values for uniaxial compressive tests ranged from 26 to 207 MPa. The average coefficients of variation of laboratory and site tests were found to be less than 14% for uniaxial compressive tests and less than 12.5% for the friction-transfer method. Fully saturated rock samples showed between about 18%–56% reduction in their torsional and core compressive strengths compared with their respective values obtained under dry laboratory conditions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".