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Record W2134307459 · doi:10.1080/03639040802713460

Selected polysaccharides at comparison for their mucoadhesiveness and effect on precorneal residence of different drugs in the rabbit model

2009· article· en· W2134307459 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDrug Development and Industrial Pharmacy · 2009
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvanced Drug Delivery Systems
Canadian institutionsnot available
FundersNational Institutes of HealthUniversity of WaterlooAmsterdam University Medical Centers
KeywordsChemistryPolysaccharideXanthan gumChromatographyMucoadhesionResidence time (fluid dynamics)In vivoViscosityGalactomannanPolymerRheologyMaterials scienceBiochemistryBiotechnologyOrganic chemistry

Abstract

fetched live from OpenAlex

Mucoadhesive polysaccharides may prolong the residence of ophthalmic drugs in precorneal area. In this article, the mucoadhesiveness of arabinogalactan, tamarind seed polysaccharide, hyaluronan, hydroxyethylcellulose is compared in vivo, by the polymer residence time in rabbit tear fluid, and in vitro, by the polymer-induced increase of viscosity of a mucin dispersion. Polymer residence is prolonged by increased viscosity but shortened by reflex tearing caused by excessive viscosity. Tamarind seed polysaccharide is the most effective in prolonging the residence of ketotifen and diclofenac in precorneal area; hence, it is the optimal eyedrop additive as it is mucoadhesive while not increasing viscosity excessively.

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)
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 score0.787
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)0.0000.000

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 head0.142
GPT teacher head0.398
Teacher spread0.257 · 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