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Record W2529435947 · doi:10.1002/cjce.22710

Effect of gravity orientation in the study of thermodiffusion

2016· article· en· W2529435947 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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicField-Flow Fractionation Techniques
Canadian institutionsToronto Metropolitan University
FundersCanadian Space AgencyEuropean Space Agency
KeywordsInterferometryMaterials scienceDodecaneOpticsFinite volume methodOrientation (vector space)Binary numberVolume (thermodynamics)Fourier transformAnalytical Chemistry (journal)ThermodynamicsPhysicsChemistryChromatographyMathematicsGeometry

Abstract

fetched live from OpenAlex

Abstract This paper describes the measurement of the Soret coefficient of a hydrocarbon binary liquid mixture at different orientations to the gravity vector. The working fluid in the experiment was composed of 1,2,3,4‐tetrahydronaphtalene (THN) and dodecane (C 12 ) at mass fractions of 0.50/0.50 and a temperature of 298.15 K. The experimental technique used in this study was an optical digital interferometry method using a Mach‐Zehnder Interferometer. A fast Fourier transform method was used for image processing. The experimental approach was supplemented with a numerical solution using the finite volume method. Experimental and numerical results both confirmed that cell inclination during the thermodiffusion process had a tremendous effect on the measurement of the Soret coefficient.

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)0.001
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 score0.025
Threshold uncertainty score0.129

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.005
GPT teacher head0.208
Teacher spread0.203 · 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