An Investigation on the Critical Degree of Saturation of Half Brick Samples via the Frost Dilatometry Methodology
Bibliographic record
Abstract
An Investigation on the Critical Degree of Saturation of Half Brick Samples via the Frost Dilatometry Methodology By Javeriya Hasan Master of Building Science in the Program of Building Science 2019 An assessment of freeze-thaw deterioration of bricks necessitates predicting the moisture content at which frost decay occurs, whereby this is called the critical degree of saturation (Scrit). The study involved performing frost dilatometry testing of eight half-brick samples. Strains along the x, y and z axes of samples were measured, whereby the results show that trends of frost decay were non-uniform along certain axes. However, along the z-axis, brick sample types 305-EB4, 295AF4, 297-EB2 showed Scrit values of 81%, 90% and 77.5% respectively, which were comparable to the slices’ Scrit, which were at 84.4%, 88.1% and 77.5% respectively. Similarly, for brick sample type 349-ER1, the Scrit at its x-axis was 92%, which was near to its slice’s Scrit, at 87.3%. Sample types 60 and 295-F2 showed differences as high as 17% in their Scrit values, at 56% and 88% respectively, compared to their slices, which were at 73.4% and 78.4%.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".