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Record W2049600290 · doi:10.1081/ddc-120002445

Controlled-Release Naproxen Using Micronized Ethyl Cellulose by Wet-Granulation and Solid-Dispersion Method

2002· article· en· W2049600290 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

VenueDrug Development and Industrial Pharmacy · 2002
Typearticle
Languageen
FieldChemistry
TopicAnalytical Methods in Pharmaceuticals
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsGranulationNaproxenEthyl celluloseDispersion (optics)DissolutionDosage formChromatographyMaterials sciencePolymerImmediate releaseControlled releaseChemistryChemical engineeringComposite materialNanotechnologyOrganic chemistryMedicine

Abstract

fetched live from OpenAlex

This study has been undertaken to develop a controlled-release tablet dosage form of naproxen using ethocel (ethyl cellulose) as the rate-controlling polymer. The formulations were made by employing the conventional wet-granulation method and the solid-dispersion method. Tablets made by both methods were compared for their controlled-release dissolution profiles. Both methods were useful in developing the controlled-release formulations of naproxen with desirable properties. However, the amount of polymer required to make a formulation with the desired release profile was 33% less via solid dispersion than via wet granulation. A cumulative 88% of naproxen was released from the solid-dispersion formulation, compared with 84% from the wet-granulation formulation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.387
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.105
GPT teacher head0.369
Teacher spread0.264 · 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