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Record W2531621891

A CFD qualitative study of an infant's plethysmograph

2004· article· en· W2531621891 on OpenAlexaff
Ilham Amezzane, Mohamad Sawan, F. Bellemare, Stéphane Hallé

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2004
Typearticle
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsÉcole de Technologie SupérieureHôtel-Dieu de MontréalCentre Hospitalier de l’Université de MontréalPolytechnique Montréal
Fundersnot available
KeywordsComputational fluid dynamicsFluentDisplacement ventilationAirflowPlethysmographMechanicsExhalationTurbulenceDisplacement (psychology)SimulationComputer scienceEngineeringMechanical engineeringPhysicsMedicine
DOInot available

Abstract

fetched live from OpenAlex

In this paper, Computational Fluid Dynamics (CFD) is used to simulate the effects of respiration in displacement ventilated whole body plethysmograph for infants. It is found that CFD allows to simulate the effects seen in experimental results in a satisfactory manner. Grid density, especially in the exhalation zone, is paramount. The choice of flow rate is more important for the flow pattern, the thermal comfort and the air quality inside the plethysmograph. Calculations are carried out in the case of an infant model, in sleep position inside the apparatus, during an exhalation phase with a constant flow rate.  Airflow is predicted using a commercial computational fluids dynamic software called Fluent (FLUENT Inc.). Turbulent modeling is accomplished  with the low-Reynolds number k-e model.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.017
GPT teacher head0.300
Teacher spread0.283 · 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
Published2004
Admission routes1
Has abstractyes

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