The effect of pore solutions on the elastic modulus of rocks.
Bibliographic record
Abstract
The objective of the research was to determine the effect of saturation and ionic solutions on the elastic modulus (Young's Modulus) of rocks. It is based on the testing of 78 samples, which are considered representative of rock formations in Southern Ontario. Initially a number of physical parameters were measured, including absorption, adsorption, porosity, unit weight and length change due to freezing. A uniaxial compressive stress frame was designed and built to facilitate the stress portion of the research program. Samples were subjected to varying levels of moisture, temperature and ionic conditions for a preset time period and immediately removed and put under stress. Stress and length change of the sample were recorded during the test. Young's Modulus was calculated from the stress and strain results. All the results (combined with additional results extracted from the same samples in previous studies by Stephen Rigbey, 1980 and Ivan Dananaj, 2001) were subjected to multivariate statistical analysis, which included correlation tests, cluster analysis, factor analysis, regression and t tests. (Abstract shortened by UMI.)Dept. of Earth Sciences. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2002 .P685. Source: Masters Abstracts International, Volume: 41-04, page: 1036. Adviser: Peter P. Hudec. Thesis (M.Sc.)--University of Windsor (Canada), 2002.
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".