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Record W2989524636

Oxydation à haute température d’échantillons en Inconel 718 réalisés par fabrication additive : influence de l’état de surface et de la microstructure

2019· preprint· fr· W2989524636 on OpenAlexaff
Tom Sanviemvongsak, Daniel Monceau, Bruno Macquaire

Bibliographic record

VenueOpen Archive Toulouse Archive Ouverte (University of Toulouse) · 2019
Typepreprint
Languagefr
FieldEngineering
TopicAdditive Manufacturing Materials and Processes
Canadian institutionsSafran Electronics (Canada)
Fundersnot available
KeywordsMicrostructureMaterials scienceFabricationInconelPhysicsMetallurgyAlloy
DOInot available

Abstract

fetched live from OpenAlex

Les matériaux issus de la fabrication additive sont-ils aussi performants que leurs homo-logues forgés ou coulés, en termes de résistance à l’oxydation ? Le comportement d’échan-tillons en IN 718 produits par fusion laser et faisceau d’électrons, est comparé à celui d’un alliage de référence forgé-traité.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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.

Study designObservational
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
Published2019
Admission routes1
Has abstractyes

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