On permeable porosity in bio-inspired fibre reinforced cementitious composites
Bibliographic record
Abstract
Permeability plays an important role in governing the durability of concrete in deleterious environments. Previous permeability tests using water as the permeating medium have indicated that the addition of cellulose fibre is effective in reducing water permeability both in the presence and absence of stress and thereby making concrete more durable. In this paper, further evidence was sought of pore-refinement in concrete reinforced with cellulose fibre using cryoporometry (CP) and mercury intrusion porosimetry (MIP) methods. Cryoporometry was carried out using a differential scanning calorimeter (DSC). Two volume fractions – 0.1% and 0.3% – of a treated cellulose fibre were investigated. The results indicated a definite pore refinement due to cellulose fibre addition and a related improvement in durability.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".