On the results of the online scientific-practical conference with international participation "Experience of military formations in the aftermath of the Chernobyl accident through the prism of modern radiation and chemical threats" April 15-16, 2021, Kyiv
Bibliographic record
Abstract
The Scientific-practical conference "Experience of military formations in the aftermath of the Chernobyl accident through the prism of modern radiation and chemical threats" (hereinafter - the Conference) was organized by the Ukrainian Military Medical Academy in conjunction with the National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine and conducted on the basis of SE "Research Center of Preventive Toxicology, Food and Chemical Safety named after Academician L.I. Medved of the Ministry of Health of Ukraine" in Kyiv on April 15-16, 2021. Aim. The Conference was dedicated to the 35th anniversary of the Chernobyl disaster, current issues of CBRN medical care and generalization of experience in eliminating the radiation accident, taking into account the current structure of medical forces and troops of the CBRN protection. The main purpose of the Conference was to spread the scientific and pedagogical experience of the Ukrainian Military Medical Academy as the only medical institution in the country for the training of military medical personnel. The event was attended by representatives of the Department of Military Education and Science of the Ministry of Defense of Ukraine, Command of the Medical Forces of the Armed Forces of Ukraine, higher military primary institutions of the Ministry of Defense of Ukraine, radiation, chemical, biological protection of the Armed Forces and Defense Forces of Ukraine, higher medical primary institutions of Ukraine, health care institutions of Ukraine, representatives of the Malaysian Armed Forces and colleagues from Canada. Conclusions. The conference provided an opportunity for military medics, scientists, and civil servants to come together to share experiences on a wide range of issues. Measures to eliminate the radiation accident were discussed; measures of medical protection and rendering of medical care in the conditions of radiation infection; the role of the medical service of the Armed Forces in the elimination of radiation accidents; coordination and interaction between departments and institutions of different subordination in the field of medical care and radiation protection with the involvement of military specialists in the elimination of the consequences of a radiation accident; integration of scientific and educational activities in the system of higher military medical education; application of new scientific and technical knowledge during the training of military medics and the formation of scientific personnel potential. The conference was attended by about 90 experts in the field of theoretical and clinical medicine and CBRN defense, who presented 20 plenary and 10 section reports, prepared 39 abstracts, which were reflected in the scientific journal "Ukrainian Journal of Military Medicine" (Vol. 2. №1. 2021. Appendix). Key Words: radiation accidents, military radiology, military medicine, medical protection.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.063 | 0.012 |
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".