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СРАВНИТЕЛЬНАЯ ОЦЕНКА ДОЗ ОБЛУЧЕНИЯ ПЕРСОНАЛА В РОССИИ И ЗА РУБЕЖОМ

2016· article· ru· W2748200221 on OpenAlexaboutno aff
А. Ю. Медведев

Bibliographic record

VenueRadiacionnaâ gigiena · 2016
Typearticle
Languageru
FieldMedicine
TopicRadiation Dose and Imaging
Canadian institutionsnot available
Fundersnot available
KeywordsRadiation protectionFederal stateNorwegianEnvironmental healthOccupational exposureMedicineRadiation exposureBusinessPolitical scienceNuclear medicinePublic administration

Abstract

fetched live from OpenAlex

The article provides a comparative assessment of exposure levels of the staff from selected occupational groups in Russia and the respective doses reported for the personnel in some foreign countries. The comparison of the average doses was performed at on a country level and with respect of the job category: nurse, radiographer, industrial radiographer. The analysis involved some relevant data according to the Integrated State System for Doses Control and Registration, the United Nations Scientific Committee on the Effects of Atomic Radiation, the National Dose Registry of Canada, the Federal Office for Radiation Protection of Germany, the Norwegian Radiation Protection Authority. The system for monitoring and registration of individual doses, and the reasons for higher levels of occupational exposure in Russia are discussed. Some recommendations on improving registration of occupational radiation exposure to individuals in forms of Federal Statistical Observation are given.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.020

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.

Opus teacher head0.013
GPT teacher head0.263
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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