MétaCan
Menu
Back to cohort
Record W170226984 · doi:10.2320/materia.45.48

[no title]

2006· article· ja· W170226984 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMateria Japan · 2006
Typearticle
Languageja
FieldMaterials Science
TopicFusion materials and technologies
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsMaterials science

Abstract

fetched live from OpenAlex

HT9等のフェライト系耐熱鋼は格段に優れた中性子照射損傷抵抗性を有していることから、原子力の高速炉分野において燃焼度200GWd/tの高燃焼度燃料の被覆管材料としてこれまで使用されてきた。しかし、フェライト系はオーステナイト系の耐熱鋼に比べて高温強度が劣ることから、その使用温度は873K以下に制限されている。この課題を克服して高速炉の高効率運転を実現すべく、照射損傷抵抗性に優れたフェライト鋼中にY2O3粒子を分散してその高温強度を向上させた酸化物分散強化型(Oxide dispersion Strengthened)フェライト鋼の開発がこれまで行われてきた。しかし金属粉末とY2O3粉末のメカニカルアロイング(MA)処理粉末を固化成形したODSフェライト鋼は硬くて脆い難加工性材料であることから、固化成形体からの冷間圧延による被覆管への製管はこれまで不可能であった。これに対して著者らは、その組織制御技術を独自に開発することにより、世界で初めて冷間圧延による被覆管製造を可能にするとともに、酸化物粒子のナノ制御技術を開発して、フェライト系耐熱鋼管としては世界最高の高温強度を有する9Cr-ODSフェライト/マルテンサイト鋼被覆管を実用化した。

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.159
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0050.001
Open science0.0030.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0080.002

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 head0.010
GPT teacher head0.219
Teacher spread0.208 · 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