Nanopowders synthesis at industrial-scale production using the inductively-coupled plasma technology
Why this work is in the frame
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Bibliographic record
Abstract
The increasing demand for nanopowders (particles size <;100 nm) having very specific properties calls for the development of new technologies that could bring nanopowders synthesis at the industrial scale. The production of rather large volumes of nanopowders involves processing equipments that can provide a complete control of the synthesis conditions in a continuous producing mode with strong reliability, as well as low processing costs. More importantly, such equipments must be designed to ensure the safe recovery and handling of the ultra-fine constituents. Inductively-coupled plasma (ICP) is one of the most promising approach in the production of a wide range of nanopowders with tailored properties, either at laboratory or industrial scales. The ICP technology developed by Tekna Plasma Systems Inc. will be briefly described, while highlighting specific characteristics that make this technology particularly attractive for the synthesis of various types of nanopowder.
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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 | 0.000 | 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) | 0.004 | 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