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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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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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