An Overview of Nanotechnology in Building Materials
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Nanotechnology can increase the functionality and durability of building materials like cement, insulation, windows, and weatherproofing. The introduction of nanomaterials to the construction industry can give buildings and infrastructure some degree of: self-repairing, self-cleaning, bacterial- and weather-resistant qualities, increased electrical conductivity, and the ability to break down pollution. Though nanotechnology is still in the early stages of development and can be expensive, increased research may find even more uses for nanotech and lower the cost of its implementation. La nanotechnologie peut augmenter la fonctionnalité et la durabilité des matériaux de construction comme le ciment, l'isolation, les fenêtres et les intempéries. L'introduction des nanomatériaux à l'industrie de la construction peut donner bâtiments et des infrastructures un certain degré d’auto-réparation, auto-nettoyage, résistance aux bactéries et intempéries, conductivité électrique augmenté, et la capacité de décomposer la pollution. Bien que la nanotechnologie est encore dans les premiers stades de développement et peut être cher, nouvelles recherches peuvent trouver encore plus d'utilisations pour la nanotechnologie et comment réduire sa coût.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it