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Record W7144897127

結晶質岩における閉鎖要素に期待すべき性能要件

2007· report· ja· W7144897127 on OpenAlexaboutno aff
Tomoo Fujita, Yasuhiro Suyama, Masaru Toida

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2007
Typereport
Languageja
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsClosure (psychology)ConstructabilitySpark plugCountermeasureScale (ratio)
DOInot available

Abstract

fetched live from OpenAlex

Based on the results and experiences obtained from the tunnel sealing experiments in the Canadian underground research laboratory in crystalline rock under the collaboration with JNC (now JAEA), this report summarizes the requirements for closure components such as backfilling material and hydraulic plug from the viewpoint of expected barrier performance, taking account of key issues on sealing technologies which have been left open after H12 project. The results of the tunnel sealing experiments indicate that the constructability of closure components and low permeability of the hydraulic plug is well performed. Requirements for the closure components and key issues for further study are identified from the viewpoint of barrier performance considering a range of events related to the sealing and taking account of where these are occurred as well as appropriate countermeasure for them. It is also discussed how to apply these preferable closure components to the scale of repository layout, and further technical issues are then identified.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.018
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0030.002
Scholarly communication0.0090.008
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.014

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 head0.052
GPT teacher head0.329
Teacher spread0.277 · 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 source (direct Gemma or distilled Codex), 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
Published2007
Admission routes1
Has abstractyes

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Same venueInstitutional Repositories DataBase (IRDB)French-language works237,207