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Record W2120477874 · doi:10.1139/cjp-2012-0026

Critical evaluation of surface tension of binary liquid mixtures from associated and nonassociated processes at various temperatures: an experimental and theoretical study

2012· article· en· W2120477874 on OpenAlex
R. K. Shukla, Atul Kumar, Urvashi Srivastava, Naveen Awasthi, J. D. Pandey

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Physics · 2012
Typearticle
Languageen
FieldChemical Engineering
TopicThermodynamic properties of mixtures
Canadian institutionsnot available
Fundersnot available
KeywordsThermodynamicsBinary numberPhysicsSurface tensionPolynomialMathematical analysisMathematics

Abstract

fetched live from OpenAlex

Densities and surface tensions were measured for the binary liquid mixtures formed by formamide, N-methylacetamide, di-methylformamide, and di-methylacetamide with acetonitrile at 293.15, 298.15, 303.15, and 313.15 K and atmospheric pressure over the whole concentration range. The Prigogine–Flory–Patterson model, the Ramaswamy and Anbananthan model, the model devised by Glinski, the Sanchez equation, the Goldsack relation, and the Eberhart model were used to predict the associational behaviour of weakly interacting liquids. The measured properties were fitted to the Redlich–Kister polynomial relation to estimate the binary coefficients and standard errors. Furthermore, the McAllister multibody interaction model was used to correlate the binary properties. These nonassociated and associated models were compared and tested for different systems showing that the associated processes yield fair agreement between theory and experiment compared with nonassociated processes.

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)0.001
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 score0.060
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.015
GPT teacher head0.262
Teacher spread0.247 · 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