MétaCan
Menu
Back to cohort
Record W2133417134 · doi:10.3109/10731190009119784

Sustained Drug Release Characteristics of Biodegradable Composite Poly(d,l)Lactic Acidpoly(I)Lactic Acid Microcapsules Containing Ciprofloxacin

2000· article· en· W2133417134 on OpenAlexaff
Weijie Yu, Jeremy P. H. Wong, Thomas Ming Swi Chang

Bibliographic record

VenueArtificial Cells Blood Substitutes and Biotechnology · 2000
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvanced Drug Delivery Systems
Canadian institutionsMcGill University
Fundersnot available
KeywordsPolylactic acidLactic acidBiodegradable polymerPolymerChemistryMaterials scienceChemical engineeringOrganic chemistryBacteria

Abstract

fetched live from OpenAlex

Ciprofloxacin polylactic microcapsules were prepared by the phase separation process. Two types of polylactic acid, poly(d,l)lactic acid and poly(l)lactic acid were combined as membrane materials to prevent the aggregation which happened frequently in the phase separation process. The polymer compositions of the microcapsules can influence the release rate of Ciprofloxacin. The optimal release rate of the drug can be obtained by modifying microcapsule compositions. Poly(d,l)lactic acid is superior in slowing the rate of drug release than poly(l)lactic acid. However, poly(l)lactic acid is necessary in the preparation of the microcapsules to prevent aggregation.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.029
GPT teacher head0.305
Teacher spread0.276 · 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

Citations8
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueArtificial Cells Blood Substitutes and BiotechnologySame topicAdvanced Drug Delivery SystemsFrench-language works237,207