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Record W2226035717 · doi:10.5595/idrim.2015.0109

A Required Level of Enhancing Life Safety Derived from the Cost for Substituting Nuclear Energy in Japan

2015· article· en· W2226035717 on OpenAlexaff
Eishiro Higo, Mahesh D. Pandey

Bibliographic record

VenueIDRiM Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNuclear powerNuclear power plantBenchmark (surveying)Shut downThermal power stationEnvironmental economicsRisk analysis (engineering)Government (linguistics)BusinessEngineeringReliability engineeringForensic engineeringOperations managementComputer scienceWaste managementNuclear engineeringEconomics

Abstract

fetched live from OpenAlex

Since the disastrous earthquake and tsunami on March 11, 2011, Japanese people have discussed the question of “How safe is safe enough?” The risk of spills from nuclear power plants is one of the major issues, and the government has shut down almost all nuclear power plants to re-evaluate the risk from each one. However, even after the re-evaluation, the nuclear power plants remain closed because many people do not agree with the evaluation, and they prefer to avoid as much risk as possible without fully understanding the cost of their demands. Currently, to sustain the electric demand with thermal power plants, Japan must import more fossil fuel at great cost. This study provides a comprehensible cost-benefit criterion for enhancing life safety. The criterion provides a required level of enhancing life safety which equivalents with the additional cost for substituting nuclear energy and importing other energy sources. This suggested criterion could be used as a benchmark to evaluate the actual reduced risk by prohibiting the nuclear power plants’ operation.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.191
GPT teacher head0.353
Teacher spread0.162 · 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 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

Citations2
Published2015
Admission routes1
Has abstractyes

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