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Record W2158116091 · doi:10.1139/v00-157

Phase behaviours and conductivity study of water/CPC/alkan-1-ol (C<sub>4</sub> and C<sub>5</sub>)/1-hexane water/oil microemulsions with reference to their structure and related thermodynamics

2001· article· en· W2158116091 on OpenAlexfundvenueno aff
Satya P. Moulik, Wanda M. Aylward, R. Palepu

Bibliographic record

VenueCanadian Journal of Chemistry · 2001
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsnot available
FundersRyerson University
KeywordsMicroemulsionChemistryPercolation (cognitive psychology)HexaneCetylpyridinium chloridePhase (matter)MicellePercolation thresholdThermodynamicsPulmonary surfactantConductivityPhysical chemistryOrganic chemistryElectrical resistivity and conductivity

Abstract

fetched live from OpenAlex

The microemulsion forming systems of water/cetylpyridinium chloride/butan-1-ol/n-hexane, and water/cetylpyridinium chloride/pentan-1-ol/n-hexane have been studied with respect to their phase behaviours and percolation of conductance to derive information on their droplet physicochemical characteristics (dimension, interfacial area and composition, and number density). This was carried out at different water contents at specific ratios of surfactant and cosurfactant and at various temperatures. From the information collected, the energetics of the transfer of the alkanol (butan-1-ol and pentan-1-ol) from the continuous oil-phase to the interfacial region (the interphase) have been estimated. At the conductance percolation threshold, the droplets cluster or associate, can be considered to form a pseudophase similar to surfactants forming micelles. Based on this concept, the energetics of the clustering process have been evaluated, and the results are discussed in comparison with other recently studied systems.Key words: energetics of clustering, percolation, phase diagrams, microemulsions and thermodynamics of transfer.

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 score0.008
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 science0.0000.000
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 head0.011
GPT teacher head0.209
Teacher spread0.198 · 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

Citations20
Published2001
Admission routes2
Has abstractyes

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