Bibliographic record
Abstract
Abstract The VI International Conference LaPlas-2020 A.P. Kuznetsov and S.V. Genisaretskaya VI Conference on Plasma and Laser Research and Technologies took place on February 11 until February 14, 2020 at the National Research Nuclear University “MEPhI”. The Conference was organized by the Institute for Laser and Plasma Technologies and was supported by the Competitiveness Program of the National Research Nuclear University “MEPhI”. The conference is based on scientific fields as follows: □ Laser, plasma and radiation technologies in industry, power engineering and medicine; □ Photonics, quantum metrology, optical information processing; □ New functional materials, metamaterials, “smart” alloys and quantum systems; □ Superstrong optical fields, powerful lasers, Mega Science installations; □ Applied mathematics and mathematical modeling □ High energy density physics; □ Physics of high-temperature plasma, environmentally safe energy on the basis of controlled thermonuclear synthesis; □ Spectroscopic synchrotron, neutron, laser research methods, quantum-mechanical calculations and computer simulation of condensed media and nanostructures; The conference consisted of nine sections: □ Laser physics and laser technology □ Plasma physics and controlled thermonuclear fusion □ Modern problems of theoretical physics □ Applied mathematics and mathematical modelling □ Modern problems of solid state physics, functional materials and nanosystems □ Modern problems of measuring systems and quantum metrology □ Accelerators of charged particles and radiation technology □ Electrophysical and nuclear instrumentation □ High energy density physics More than 300 specialists took part in the Conference. They represented leading Russian scientific research centers and universities (National Research Centre “Kurchatov Institute”, P.N. Lebedev Physical Institute, A.M. Prokhorov General Physics Institute, Joint Institute for Nuclear Research, Moscow Institute of Physics and Tecnology and others) and leading scientific centers and universities from Germany, Italy, France, Canada, Japan. We would like to thank heartily all of the speakers, participants, organizing and program committee members for their contribution to the conference.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.585 | 0.412 |
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 source (direct Gemma or distilled Codex), 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".