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Record W1977803591 · doi:10.1021/je049768f

Densities and Viscosities of the Regular Quinary System:  Toluene (1) + Octane (2) + Ethylbenzene (3) + Tetradecane (4) + Hexadecane (5) and Its Quaternary Subsystems at (308.15 and 313.15) K

2004· article· en· W1977803591 on OpenAlexaff
Abdulghanni H. Nhaesi, Abdul‐Fattah A. Asfour

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2004
Typearticle
Languageen
FieldChemical Engineering
TopicThermodynamic properties of mixtures
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTetradecaneChemistryQuinaryEthylbenzeneViscosityThermodynamicsOctaneMass fractionHexadecaneTolueneAnalytical Chemistry (journal)Organic chemistryPhysics

Abstract

fetched live from OpenAlex

The densities and kinematic viscosities of the quaternary subsystems of the regular quinary system toluene (1) + octane (2) + ethylbenzene (3) + tetradecane (4) + hexadecane (5) were measured over the entire composition range at 308.15 K and 313.15 K. The viscosity deviations from the mole fraction-averaged viscosity of the mixture were calculated from the absolute viscosity data. All of the viscosity deviations are negative. The viscosity data reported herein were used to test the predictive capabilities of the predictive version of the McAllister model, which was reported by Nhaesi and Asfour and the Grunberg−Nissan equation. The obtained results showed that the McAllister model predicts the viscosity data better than the Grunberg−Nissan equation.

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 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 categoriesMeta-epidemiology (narrow)
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 score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.012
GPT teacher head0.204
Teacher spread0.192 · 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 teacher head, not a consensus.

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

Citations27
Published2004
Admission routes1
Has abstractyes

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