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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 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)0.003
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 teacher head, not a consensus.

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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