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Record W2618126734 · doi:10.1002/mawe.201700006

Results on the measurement of the soret coefficients for ternary hydrocarbons mixtures on board ISS

2017· article· en· W2618126734 on OpenAlex
Amirhossein Ahadi, M. Ziad Saghir

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.

Bibliographic record

VenueMaterialwissenschaft und Werkstofftechnik · 2017
Typearticle
Languageen
FieldEngineering
TopicField-Flow Fractionation Techniques
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Space AgencyState Space Corporation ROSCOSMOS
KeywordsTernary operationThermophoresisDodecaneDiffusionAnalytical Chemistry (journal)Hydrocarbon mixturesHydrocarbonThermodynamicsBinary numberInterferometryChemistryThermalMaterials scienceChromatographyOpticsOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Abstract The diffusion and thermodiffusion coefficients of binary hydrocarbon mixtures have been measured and analyzed in detail elsewhere, as one step forward here we measured the separation of tetrahydronaphthalene, isobutylbenzene, and dodecane mixture in a ternary hydrocarbon mixture, at five different compositions due to thermal gradients, and we determined the Soret and diffusion coefficients of this mixture. The thermodiffusion experiment was conducted by means of a Mach‐Zehnder Interferometer (MZI) using two wavelengths and in a low gravity environment on board the International Space Station (ISS). Thus, we report the chemical concentration variations of the various cases obtained by the recently developed processing technique. Eventually, based on the transient behavior of the separation of the components, the Soret coefficient of all three components for various compositions of this mixture were measured.

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 score0.119
Threshold uncertainty score0.701

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 science0.0010.000
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 head0.022
GPT teacher head0.258
Teacher spread0.236 · 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