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Record W1983901895 · doi:10.1139/v06-098

The volatilities and conductivities of ionic liquids — GC–MS methodology and preliminary studies of acetic acid – base systems

2006· article· en· W1983901895 on OpenAlexfundvenueno aff
R. G. Treble, Keith E. Johnson, E. Tosh

Bibliographic record

VenueCanadian Journal of Chemistry · 2006
Typearticle
Languageen
FieldChemical Engineering
TopicIonic liquids properties and applications
Canadian institutionsnot available
FundersPetroleum Technology Research Centre
KeywordsChemistryAcetic acidTriethylamineIonic liquidIonic bondingBase (topology)PyridineInorganic chemistryAnalytical Chemistry (journal)ChromatographyOrganic chemistryIonCatalysis

Abstract

fetched live from OpenAlex

Gas chromatography – mass spectrometry studies of the headspaces above the binary systems pyridine (bp 115 °C) – acetic acid (bp 116 °C), 1-methylimidazole (bp 198 °C) – acetic acid, and triethylamine (bp 89 °C) – acetic acid show both components in the first case, acetic acid only in the second, and triethylamine only in the third. Negative deviations from Raoult's law are confirmed and proton transfer is evidenced by the downfield shift of the acidic proton as the addition of base proceeds. Specific conductances >2 mS cm–1 are found over wide composition ranges for all three systems with values >8 mS cm–1 at high (>2) mole ratios of acetic acid, suggesting the formation of acetatohydrogenate ionic liquids.Key words: GC–MS, air, vapor pressure, conductivity, ionic liquids, acetic acid.

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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.041
GPT teacher head0.253
Teacher spread0.212 · 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

Citations25
Published2006
Admission routes2
Has abstractyes

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