Future technology: Multi-purpose plasmas with microwaves
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
Future technology: Multi-purpose plasmas with microwaves Professor Michel Moisan and his team at Université de Montréal (UdeM) explore reliable, energy-efficient and multi-purpose plasmas with microwaves for research and technology. The ability to generate ionized gases (gaseous plasmas) under required operating conditions (shape and volume of the plasma, nature of the gas (including various mixtures), and pressure) is central to many aspects of science and industry. In that respect, of particular interest are low-temperature plasmas where the electrons have high energy while the ions remain slightly above room temperature, allowing, among other things, low-energy chemistry. To achieve reproducible and low-contaminated (electrodeless) gaseous discharges, it is better to call on a high-frequency (HF) electric field: it initially accelerates a few electrons that are randomly present in the gas, which then go on to strip the outer electrons of atoms in a source gas, creating an ‘avalanche’ process, which culminates in a stationary fluid of electrons and ions – a plasma.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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