MétaCan
Menu
Back to cohort
Record W2988239245 · doi:10.5611/hamon.28.2_64

Establishment of Residual Stress Measurement Technique and Promotion of Industrial Application of Neutron to Industry

2018· article· en· W2988239245 on OpenAlexaboutno aff
Makoto Hayashi

Bibliographic record

Venuehamon · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsnot available
FundersMaterials and Life Science Experimental Facility
KeywordsPromotion (chess)NeutronJ-PARCNeutron diffractionNuclear industryBusinessNuclear engineeringEngineeringNuclear physicsPolitical sciencePhysicsBeam (structure)DiffractionOpticsCivil engineering

Abstract

fetched live from OpenAlex

Residual stress measurement technique using neutron diffraction has been developed with supports of Canadian Neutron Beam Center and JAERI (Present JAEA). As Ibaraki Prefecture installed two neutron diffraction apparatuses in J-PARC MLF, I took office as Senior Director. In 2008, I established Industrial Users Society for Neutron Application. Now a number of member is 50 (2 institutes, 48 companies). For the promotion of industrial application, 10 research groups are organized, two type training sessions are held and delivery courses at the companies are held. These activities lead to the allocated proposals for J-PARC MLF occupy about 30% through from 2008 to 2017. This value is incredibly higher compared with the world’s most advanced experimental facilities.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.258

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 head0.031
GPT teacher head0.266
Teacher spread0.236 · 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 designBench or experimental
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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuehamonSame topicNuclear Physics and ApplicationsFrench-language works237,207