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Record W7042877621

Postclosure Safety Assessment: Data

2011· other· en· W7042877621 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Huddersfield Repository (University of Huddersfield) · 2011
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBiosphereNuclear powerBaseline (sea)Safety standardsRisk assessmentRange (aeronautics)PercentilePoint (geometry)Radioactive waste
DOInot available

Abstract

fetched live from OpenAlex

Ontario Power Generation (OPG) is proposing to build a Deep Geologic Repository (DGR) for Low and Intermediate Level Waste (L&ILW) near the existing Western Waste Management Facility at the Bruce nuclear site in the Municipality of Kincardine, Ontario. The Nuclear Waste Management Organization, on behalf of OPG, is preparing the Environmental Impact Statement (EIS) and Preliminary Safety Report (PSR) for the proposed repository. The postclosure safety assessment (SA) evaluates the long-term safety of the proposed facility and provides supporting information for the EIS and PSR. The present report provides a collation of reference information for the assessment of the Normal Evolution Scenario in a clear and well-documented manner. The report includes waste, repository, geosphere, biosphere and exposure data. The data presented in this report are the reference data for the Normal Evolution Scenario. Data specific to Disruptive Scenarios are presented in the reports where those scenarios are assessed. The assessment has adopted scientifically informed, physically realistic point values for data that can be justified on the basis of the results of research and investigation. Where there are high levels of uncertainty and/or variability associated with data, conservative but physically plausible assumptions have been adopted to allow the impacts of uncertainties/variability to be bounded. Uncertainties and variability in data for some parameters are accounted for through the use of probability distribution functions (PDFs). The biosphere model adopts a deterministic approach, based on 95th percentile characteristics of the critical group consistent with the guidance from the Canadian Standards Association. While a wide range of data sources has been used to populate the report, key data compilations have been used for each component of the DGR system, including: -Waste data from the Inventory report for L&ILW; -Repository data from the preliminary design given in the PSR; -Geosphere data from the Geosynthesis and Descriptive Site Model reports; and -Biosphere and exposure data from the latest relevant Bruce nuclear site environmental assessment and derived release limit reports.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.757
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0050.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.3410.000

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 head0.023
GPT teacher head0.206
Teacher spread0.182 · 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.

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

Citations1
Published2011
Admission routes1
Has abstractyes

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