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Record W2063788918 · doi:10.1021/ie070882b

Liquid−Liquid Equilibria of the Methyl Oleate−Glycerol−Hexane−Methanol System

2007· article· en· W2063788918 on OpenAlexaff
Roza Tizvar, David D. McLean, M. Kates, Marc A. Dubé

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2007
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsUNIFACMethanolHexaneChemistryGlycerolSolventActivity coefficientThermodynamicsChromatographyLiquid phaseGroup contribution methodBinary systemAtmospheric pressurePhase (matter)Binary numberPhase equilibriumOrganic chemistryAqueous solution

Abstract

fetched live from OpenAlex

Liquid−liquid equilibria of the quaternary system of methyl oleate, glycerol, hexane, and methanol were experimentally quantified at room temperature and atmospheric pressure. UNIFAC and Modified UNIFAC activity coefficient models were used to predict the properties of the coexisting phases at equilibrium. These models used the previously reported binary group interaction parameters without any regression. Overall, the predicted tielines showed no significant lack of fit when compared to the experimental tielines for both models; however, the precision of the experimental data was insufficient to verify achievement of the ASTM standard for the glycerol content of the methyl oleate-rich phase. Nevertheless, the hexane−methanol solvent system showed potential to achieve the required separation.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.080
GPT teacher head0.309
Teacher spread0.229 · 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 designBench or experimental
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

Citations22
Published2007
Admission routes1
Has abstractyes

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