Synthesis and Characterization of Nanoparticulate Calcium Aluminates
Bibliographic record
Abstract
Nanoscale science and technology has emerged as a very active research area in recent years. Its scope encompasses a wide range of disciplines. The use of nanoparticulate solids is a natural step in the potential application of nanoscale science to the construction sector. Nanoparticles offer the potential for stronger and more flexible cement-based materials. They will have an inevitable influence on the hydration characteristics of the hydraulic phases in cements. A number of techniques exist for the production of nanocrystalline and nanoparticulate oxide materials. Some of these are relatively complex and/or produce very small quantities of material, e.g. laser techniques. Additional techniques include high energy ball milling, cap precipitation, and other solution based routes. Many of the latter routes are relatively straightforward gel and combustion techniques that rely on complexation and dispersion with rapid heating respectively to achieve small crystallite sizes.
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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) | 0.001 | 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) | 0.009 | 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".