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Record W2133833663 · doi:10.1051/uvx/201301004

ASUR : plateforme d'applications des sources laser ultra-rapides pour l'imagerie X et l'interaction laser-matière

2013· article· fr· W2133833663 on OpenAlexaff
O. Utéza, Pierre Blandin, L. Charmasson, G. Coustillier, David Grojo, Andrei V. Kabashin, Maxime Lebugle, N. Sanner, V. Tcheremiskine, M. Sentis, François Légaré, J. C. Kieffer

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsInstitut National de la Recherche Scientifique
FundersConseil Régional Provence-Alpes-Côte d'AzurCentre National de la Recherche ScientifiqueMinistère de l'Enseignement Supérieur et de la Recherche
KeywordsPhysicsLaserHumanitiesOpticsArt

Abstract

fetched live from OpenAlex

Nous présentons la plateforme ASUR, en cours d'installation au laboratoire LP3, et plusieurs projets de recherche en développement autour de cette infrastructure. Cette chaîne laser unique permet au laboratoire LP3, en partenariat avec différents acteurs académiques et industriels, nationaux et internationaux, de mener des activités de recherche autour de la physique des interactions laser – matière à fort flux et à très faible durée d'impulsion et du développement des procédés laser.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.006

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 head0.015
GPT teacher head0.252
Teacher spread0.237 · 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 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

Citations4
Published2013
Admission routes1
Has abstractyes

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