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Development of innovative proposals for improving the environmental situation in the Novovoronezh NPP region using the comparative analysis of waste management at Kudankulam NPP in India and Bruce NPP in Canada

2020· article· en· W3109582292 on OpenAlexaboutno aff
M G Dobrosotskikh, Dmitrij Igorevich Emel'yanov, V R Kuznetsov, E. V. Rodina

Bibliographic record

VenueIOP Conference Series Materials Science and Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsnot available
Fundersnot available
KeywordsNuclear powerNuclear power plantBiosphereEnvironmental scienceRadioactive wastePlan (archaeology)Environmental resource managementEngineeringWaste managementGeographyEcologyArchaeology

Abstract

fetched live from OpenAlex

Abstract Paper provides a comparative analysis of three nuclear power plants: Novovoronezh NPP in Russia, Kudankulam NPP in India, and Bruce NPP in Canada. The basic parameters (site plan, biosphere diversity, types and capacity of reactors, amount of electricity generated and its cost) are compared. Types of waste generated at all three nuclear power plants and methods of their treatment are analyzed. Brief overview of some of the security systems used at these power plants is conducted. On the basis of comparative analysis, proposals for improving the environmental situation in the Novovoronezh NPP region (e.g. improvement of the wastes management) are made, with the proposal of nuclear fuel cycle scheme enhancement.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.210
Teacher spread0.186 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

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