MétaCan
Menu
Back to cohort
Record W2318592744 · doi:10.1021/je201354k

Solubility of<scp>l</scp>-Phenylalanine Anhydrous and Monohydrate Forms: Experimental Measurements and Predictions

2012· article· en· W2318592744 on OpenAlex
Jie Lü, Qing Lin, Zhen Li, Sohrab Rohani

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 · 2012
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsWestern University
Fundersnot available
KeywordsUNIQUACSolubilityAnhydrousAcetoneChemistrySolventGravimetric analysisEthanolOrganic chemistryAqueous solutionChromatographyNuclear chemistryActivity coefficientNon-random two-liquid model

Abstract

fetched live from OpenAlex

In this work the solubility of l -phenylalanine anhydrous and monohydrate forms in pure water, a water + acetone mixture, and a water + ethanol mixture at various temperatures were measured systematically using the gravimetric method as well as predicted using the universal quasichemical (UNIQUAC) model. Generally the solubility increased with the temperature and decreased with an increase in the content of acetone or ethanol in the solvent mixtures. The two forms were found to be enantiotropically related, and the transition temperature was about 308.9 K. Besides, the UNIQUAC model was demonstrated to work well for the prediction of the solubility of this pseudopolymorphic system in water and its binary mixtures with a low content of organic solvent.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.438
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.030
GPT teacher head0.246
Teacher spread0.216 · 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