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Record W2562155358 · doi:10.1021/acs.jced.6b00504

Density, Viscosity, and N<sub>2</sub>O Solubility of Aqueous 2-(Methylamino)ethanol Solution

2016· article· en· W2562155358 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2016
Typearticle
Languageen
FieldChemical Engineering
TopicThermodynamic properties of mixtures
Canadian institutionsUniversity of Regina
FundersNatural Science Foundation of Hunan ProvinceMinistry of Science and Technology of the People's Republic of ChinaMinistry of Education of the People's Republic of ChinaNational Natural Science Foundation of China
KeywordsSolubilityAqueous solutionEthanolViscosityChemistryThermodynamicsNuclear chemistryInorganic chemistryChemical engineeringPhysical chemistryOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

In the present work, the density and viscosity of 2-(methylamino)ethanol (MAE) solution were measured over the temperature range of 293.15 to 323.15 K with MAE mass fractions of w 1 = 0.075, 0.15, 0.225, and 0.30 and CO 2 loadings varying between 0 and 0.677 mol CO 2 /mol MAE. The physical solubility of N 2 O in aqueous MAE solution was measured in a stirred cell reactor over the temperature range of 289.31–348.18 K with MAE mass fraction w 1 = 0.075, 0.15, 0.225, 0.30, 0.375, 0.45, 0.60, 0.75, and 1. The experimental density data for both CO 2 loaded and unloaded aqueous MAE solutions were fitted by Redlich–Kister equation. The Weiland’s model was used to correlate the viscosity data of aqueous MAE solution. Finally, N 2 O solubility data were correlated by using an empirical polynomial model and compared with both the semiempirical model and the Redlich–Kister 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.

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)0.002
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 score0.074
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.000
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 head0.219
Teacher spread0.204 · 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