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Record W4230284788 · doi:10.5802/jedp.631

Phénomène de séparation pour l’équation de Prandtl stationnaire

2016· article· fr· W4230284788 on OpenAlexaff
Anne-Laure Dalibard, Nader Masmoudi

Bibliographic record

VenueJournées Équations aux dérivées partielles · 2016
Typearticle
Languagefr
FieldComputer Science
TopicAdvanced Mathematical Modeling in Engineering
Canadian institutionsCanadian Nautical Research Society
FundersAgence Nationale de la Recherche
KeywordsHumanitiesPhysicsPrandtl numberPhilosophyChemistryThermodynamicsHeat transfer

Abstract

fetched live from OpenAlex

Cet article est le résumé d’un exposé donné aux journées EDP qui ont eu lieu à la station biologique de Roscoff en juin 2015. Le but est de donner une preuve mathématique du phénomène de séparation de couche limite dans un fluide peu visqueux au voisinage d’un obstacle. Pour cela, on considère la solution de l’équation de Prandtl stationnaire, en présence d’un gradient de pression adverse. On montre que la dérivée normale de la vitesse tangentielle au voisinage de la paroi s’annule pour certaines données initiales, ce qui caractérise physiquement le point de séparation. On calcule également la vitesse d’annulation de cette dérivée. Cet article est publié sous une forme identique dans les actes du séminaire Laurent Schwartz.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.075
GPT teacher head0.331
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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