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Record W7035368625

地質環境の長期安定性に関する研究,年度報告書(令和元年度)

2020· report· ja· W7035368625 on OpenAlexfundno aff

Bibliographic record

VenueJaea Originated Papers Searching System (National Research and Development Corporation Japan Atomic Energy Agency) · 2020
Typereport
Languageja
FieldSocial Sciences
TopicEducation, Innovation and Language Studies
Canadian institutionsnot available
FundersJapan Atomic Energy AgencyNuclear Waste Management Organization
KeywordsProcess (computing)Identification (biology)Product (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

本報は、高レベル放射性廃棄物の地層処分技術に関する研究開発のうち、深地層の科学的研究の一環として実施している地質環境の長期安定性に関する研究について、第3期中長期目標期間(平成27年度sim令和3年度)における令和元年度に実施した研究開発に係る成果を取りまとめたものである。第3期中長期目標期間における研究の実施にあたっては、最終処分事業の概要調査や安全審査基本指針等の検討・策定に研究成果を適宜反映できるよう、(1)調査技術の開発・体系化、(2)長期予測・影響評価モデルの開発、(3)年代測定技術の開発の三つの枠組みで進めている。本報では、それぞれの研究分野に係る科学的・技術的背景を解説するとともに、主な研究成果等について述べる。

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)0.004
metaresearch head score (Gemma)0.008
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: Other
Teacher disagreement score0.027
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0060.006
Science and technology studies0.0020.002
Scholarly communication0.0070.005
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.012

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 head0.130
GPT teacher head0.393
Teacher spread0.264 · 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
Published2020
Admission routes1
Has abstractyes

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