Development of Carbon Consuming Concrete (CCC) using CO2 captured nanobubble water
Bibliographic record
Abstract
Nanobubble water with the ability to capture carbon dioxide (CO 2 ) was used as the mixing water for the development of Carbon Consuming Concrete (CCC). The mechanical properties, volume stability, and pore structures were initially evaluated. Scanning electron microscope (SEM) image was analyzed to confirm formation and calcium component on the surface. Differential thermogravimetry (DTG) analysis and nuclear magnetic resonance (NMR) spectroscopy were used to evaluate the reactivity of cement according to mixing water type. The ability was confirmed in priority that convert calcium hydroxide (CH) into calcium carbonate (CaCO 3 ) by utilizing abundantly captured CO 2 . The nanobubble increased the calcium content and ratio of micropores , while the total porosity decreased when CO 2 gas was injected. Depending on the mixing water type, each specimen showed strength in the production of different major components (C-S-H, CH, and CaCO 3 ), affecting the compressive strength development, and the injection of CO 2 gas also affected shrinkage behavior.
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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 | 0.000 | 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 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".