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Record W2161423421 · doi:10.3109/03639040903173556

Water uptake by substituted amylose tablets: experimentation and numerical simulation

2010· article· en· W2161423421 on OpenAlexaff
H.W. Wang, Soula Kyriacos, L. Cartilier

Bibliographic record

VenueDrug Development and Industrial Pharmacy · 2010
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug Solubulity and Delivery Systems
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAmyloseChemistryChromatographyFood scienceChemical engineeringStarchEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Substituted amylose (SA) has been developed as excipient for direct compression matrices in the formulation of sustained release solid dosage forms. METHOD: The gel performance of SA for controlling water diffusion was studied by measuring water content in SA tablets prepared by direct compression. RESULTS: The SA gel was not freely swelling and results indicate that water content in equilibrium state was dependent on tablet size but not on compression force. The presence of electrolyte and hydrophobic lubricant played an effective role in adjusting water diffusion in SA gel. In addition, a numerical model based on finite difference method was developed that exhibits a high goodness of fit to experimental result. The output of the model was not only the macroscopic water content value but also the water distribution within SA tablets.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.134
GPT teacher head0.403
Teacher spread0.268 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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