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Record W4386807824

Modeling reactive transport coupled with flow in Cathy: preparatory work

2015· preprint· fr· W4386807824 on OpenAlexaff
Laura Gatel, Claire Lauvernet, Claudio Paniconi

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2015
Typepreprint
Languagefr
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsWork (physics)Computer scienceFlow (mathematics)EngineeringMechanicsMechanical engineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

/ La modélisation des transferts de solutés en surface et subsurface est un complément essentiel des études terrain pour comprendre plus précisément les processus, notamment en ce qui concerne les transferts latéraux et les interactions surface et subsurface. CATHY (CATchment Hydrology) est un modèle 3D à base physique capable de simuler l'écoulement des eaux de façon couplée entre la surface et la subsurface. Bien que les solutés suivent globalement les chemins d'écoulements des eaux, il est indispensable de les intégrer à la modélisation pour obtenir des résultats précis quant à leur devenir. Le but de cette étude est d'ajouter un module pesticide au modèle CATHY, et la phase préliminaire consiste à fusionner un modèle de transport réactif déjà validé à CATHY.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.195
Teacher spread0.183 · 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 designSimulation or modeling
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
Published2015
Admission routes1
Has abstractyes

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