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Record W2279916972 · doi:10.2166/wst.2005.0197

A mesoscale model for hydrodynamics in biofilms that takes microscopic flow effects into account

2005· article· en· W2279916972 on OpenAlexaff
Van Thinh Nguyen, Eberhard Morgenroth, Hermann J. Eberl

Bibliographic record

VenueWater Science & Technology · 2005
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsUniversity of GuelphUniversity of Waterloo
Fundersnot available
KeywordsMesoscopic physicsMesoscale meteorologyFlow (mathematics)MechanicsBiofilmPorous mediumSensitivity (control systems)Matrix (chemical analysis)Statistical physicsPhysicsPorosityMaterials scienceGeotechnical engineeringGeologyMeteorologyEngineering

Abstract

fetched live from OpenAlex

An extended mathematical mesoscale model for flow effects in a biofilm is developed, allowing flow through the EPS matrix and through microchannels that could not be explicitly resolved in previous mesoscopic simulation studies. The model consists of the usual Navier–Stokes equations in the bulk liquid and a porous medium model in the biofilm itself. The sensitivity with respect to the new model parameter is studied numerically by computer simulations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.255
Teacher spread0.242 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations10
Published2005
Admission routes1
Has abstractyes

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