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Record W2178545241 · doi:10.1016/s1631-0721(02)01500-0

Colmatage des réacteurs gaz–liquide à lit fixe

2002· article· fr· W2178545241 on OpenAlexaff
Ion Iliuta, Faı̈çal Larachi

Bibliographic record

VenueComptes Rendus Mécanique · 2002
Typearticle
Languagefr
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFiltration (mathematics)DragPhysicsPorous mediumThermodynamicsMechanicsPorosityMaterials scienceMathematicsComposite material

Abstract

fetched live from OpenAlex

Un modèle 1-D de filtration en profondeur est formulé pour la déposition de fines colloı̈dales en écoulement gaz–liquide inertiel au travers de milieux poreux en régimes ruisselant et à bulles dispersées. La prédiction du dépôt résulte de la résolution des équations d'advection–dispersion des fines, de Navier–Stokes et de conservation de masse et de volume des phases. Le couplage entre fluides et milieu poreux est réalisé par adjonction de relations de fermeture exprimant les forces de cisaillement aux interfaces, le coefficient de filtration via les mécanismes de capture en mono-multicouche, et la croissance de la surface spécifique du lit.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.037
GPT teacher head0.235
Teacher spread0.198 · 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 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

Citations2
Published2002
Admission routes1
Has abstractyes

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