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Record W1969378040 · doi:10.1021/op900142j

The Solubility of Beclomethasone-17,21-dipropionate in Selected Organic Solvents: Experimental Measurement and Thermodynamic Modeling

2009· article· en· W1969378040 on OpenAlex
Yousef Bakhbakhi, Paul A. Charpentier, 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

VenueOrganic Process Research & Development · 2009
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsWestern University
Fundersnot available
KeywordsUNIQUACSolubilityChemistryMicronizationSupercritical fluidAcetoneGravimetric analysisMethanolThermodynamicsChromatographyOrganic chemistryActivity coefficientPhysical chemistryAqueous solutionParticle sizeNon-random two-liquid model

Abstract

fetched live from OpenAlex

In this study the solubility of beclomethasone-17,21-dipropionate in acetone, methanol, and ethanol as model systems to investigate the supercritical gas antisolvent micronization process was performed over a wide range of temperatures. Beclomethasone-17,21-dipropionate is an inhaled steroid used for the treatment of asthma. Experimental determination of the solubility of beclomethasone-17,21-dipropionate in the three solvents was achieved by employing a gravimetric technique over the temperatures range 24.5−62.5 °C. The solubility data were modeled using the group contribution parameters and UNIversal QUAsi-Chemical (UNIQUAC) theory. The binary parameters of the UNIQUAC model were calculated by employing the experimental solubility data. Good predictions of the solubility measurements were achieved using the UNIQUAC model.

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)0.002
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 score0.461
Threshold uncertainty score0.845

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.300
Teacher spread0.265 · 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