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Record W2153029196 · doi:10.14227/dt170110p6

Influence of the Changed USP Specifications on Disintegration Test Performance

2010· article· en· W2153029196 on OpenAlexaff
Katja Schmid, Raimar Löbenberg

Bibliographic record

VenueDissolution Technologies · 2010
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug Solubulity and Delivery Systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTest (biology)ChemistryReliability engineeringComputer scienceEngineeringBiology

Abstract

fetched live from OpenAlex

The aim of this study was to investigate if the changes made in the specifications of the disintegration procedure impact the performance of the disintegration test described in USP chapters <701> and <2040>. Different tablets and capsules were produced, and their disintegration times were determined. The following disintegration time parameters were analyzed: volume of the immersion fluid, type of apparatus (Apparatus A for method <701>; Apparatus B for method <2040>), and attachment of a wire cloth to the basket assembly. By adjusting the compaction force and lubricant level, the disintegration time of the tablets was standardized to 15 min. The disintegration time change was statistically significant when varying the volume of the immersion fluid. The type of apparatus and the attachment of a wire cloth resulted in no significant difference in the disintegration time of capsules. The USP requirements for immersion medium volume should be strictly followed to obtain correct and reproducible test results. The disintegration test is a suitable performance test for certain pharmaceutical and dietary dosage forms.

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)0.010
metaresearch head score (Gemma)0.050
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.050
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.103
GPT teacher head0.368
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

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 designObservational
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

Citations17
Published2010
Admission routes1
Has abstractyes

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