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Record W2089038722 · doi:10.1080/02786820701777440

Asymmetrical Aerosol Deposition in an Idealized Mouth with a DPI Mouthpiece Inlet

2008· article· en· W2089038722 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAerosol Science and Technology · 2008
Typearticle
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsUniversity of AlbertaCarleton University
Fundersnot available
KeywordsAerosolMouthpieceReynolds-averaged Navier–Stokes equationsDeposition (geology)InletMechanicsLarge eddy simulationReynolds numberDispersityVolumetric flow rateMaterials scienceMeteorologyTurbulenceChemistryPhysicsGeologyAcousticsGeomorphology

Abstract

fetched live from OpenAlex

Monodisperse aerosol deposition in an idealized mouth geometry with a dry powder inhaler (DPI) mouthpiece inlet is studied numerically using a standard Large Eddy Simulation (LES). A steady inhalation flow rate of Q = 90 L/min is used. Ten thousand of particles (4.1 μ m diameter and 953.0 kg/m3 density) are released individually in the computational domain and aerosol deposition is determined. Total aerosol deposition results for the present idealized mouth are in good agreement when compared with measured data obtained in separate experiments, showing improvement over the standard Reynolds Averaged Navier-Stokes/Eddy Interaction Model (RANS/EIM) approach (without near-wall corrections).

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.

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)0.000
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 score0.281
Threshold uncertainty score0.540

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.268
Teacher spread0.250 · 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