ANALYSIS OF THE STRUCTURE OF INDUSTRIAL WASTE USED TO CREATE NEW COMPOSITE 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
During the production of silicon, a significant amount of waste is generated, namely micro- and nanosilica. Micro- and nanosilica, with its properties and structure, immediately interested scientists in many countries from the point of view of processing this material into a new product with unique functional properties. The article presents the results of studies of waste from various industries - microsilica, as a waste of silicon production, zinc ash - a waste of the hot-dip galvanizing process, and abrasive powder - a waste of metal machining. To study waste from various industries, the authors used the method of electron microscopy as the simplest and fastest way to transmit information about the microstructure, elemental composition and grain size distribution. A comparative analysis of the microstructures and properties of these materials was carried out in order to better understand the nature and predict the possibility of their further use as initial components for the production of new composite materials. Keywords: microsilica, zinc ash, microstructure, waste disposal, composite material, properties of new materials.
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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 | 0.002 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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