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Record W2072626977 · doi:10.3166/acsm.32.257-263

Clusters dans l'alliage Fe-8,6 at. % Si obtenu par solidification entre rouleaux

2007· article· fr· W2072626977 on OpenAlexvenueno aff
Lioudmila Labed, L’hadi Atoui, Raissa Malinina

Bibliographic record

VenueAnnales de Chimie Science des Matériaux · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicMetallurgy and Cultural Artifacts
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials science

Abstract

fetched live from OpenAlex

Cet article presente une etude sur les heterogeneites de la solution solide observees dans les aciers au silicium elabores par solidification rapide. Pour cela deux etats ont ete pris en consideration: soit l'etat brut apres la solidification rapide, soit l'etat obtenu par solidification rapide suivie d'un laminage a froid. Pour relever la presence de microdomaines enrichis en silicium ou clusters, on a eu recours a la technique Mossbauer. Par ailleurs une etude de l'effet du laminage a froid sur la durete a ete effectuee. L'analyse des resultats a montre l'existence de microdomaines enrichis en silicium ou clusters dans la solution solide de l'acier a 8,6 at.% Si, elabore par solidification rapide. La deformation a froid a un taux de 5% conduit a l'elimination de ces domaines et entraine une diminution sensible de la durete.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.007
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.006

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 head0.058
GPT teacher head0.316
Teacher spread0.258 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2007
Admission routes1
Has abstractyes

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