MétaCan
Menu
Back to cohort
Record W2030421652 · doi:10.1063/1.1810206

The effects of buoyancy convection on the measured solute diffusion coefficients in dilute metallic liquids

2004· article· en· W2030421652 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

VenueJournal of Applied Physics · 2004
Typearticle
Languageen
FieldEngineering
TopicField-Flow Fractionation Techniques
Canadian institutionsQueen's University
Fundersnot available
KeywordsBuoyancyConvectionDiffusionChemistryThermodynamicsConcentration gradientCapillary actionMolecular diffusionMaterials scienceMechanicsChromatographyPhysics

Abstract

fetched live from OpenAlex

In order to determine the effect of gravity on the results from earlier liquid diffusion experiments in low earth orbit, comparative experiments involving gold, silver, and antimony diffusing in liquid lead have been carried out using the Queen’s University Experiments in liquid diffusion ground-based unit under terrestrial conditions. It was found that buoyancy-driven convection still persists in the liquid even when conditions are arranged for a continuously decreasing density gradient up the long axis of a melted long capillary diffusion couple. It is suggested that radial temperature gradients in the diffusion samples cause such buoyancy-driven convection, and so enhance the solute transport and increase the measured diffusion coefficient (D) values; however, it is noted that if the density of the solute is considerably less than that of the solvent, then the convective flow and the corresponding solute transport are much reduced.

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 score0.273
Threshold uncertainty score0.267

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.007
GPT teacher head0.207
Teacher spread0.200 · 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