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Record W2922168795 · doi:10.4324/9781315259901-6

Development of Geospatial Technology for Nuclear Information Management

2017· book-chapter· en· W2922168795 on OpenAlexaboutno aff
Chao Tao, Quang Truong

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeospatial analysisEnvironmental planningGeographyEnvironmental resource managementData scienceComputer scienceEnvironmental scienceCartography

Abstract

fetched live from OpenAlex

The Canadian Nuclear Safety Commission (CNSC), formerly the Atomic Energy Control Board (AECB), closely monitors these activities. Nuclear activity in Canada includes nuclear generation stations, research reactor licenses to universities, nuclear research and test establishments, active uranium mines, fuel fabrication plants, and waste management licences. Canada has the richest uranium deposits in the world, and, it is the world's largest producer and exporter of uranium. Information Circular (INFCIRC) 153 is a model safeguards agreement that countries can voluntarily adopt. In order to address the Additional Protocol requirements, the University of Calgary in conjunction with the CNSC has investigated a new approach to nuclear information management and reporting. The new approach is developed based on a Geospatial Information (GIS) System approach.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.989
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.009
GPT teacher head0.194
Teacher spread0.184 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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