MétaCan
Menu
Back to cohort
Record W2011952511 · doi:10.1002/pat.1332

Chitosan‐<i>g</i>‐polycaprolactone copolymer fibrous mesh scaffolds and their related properties

2008· article· en· W2011952511 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

VenuePolymers for Advanced Technologies · 2008
Typearticle
Languageen
FieldMaterials Science
TopicNanocomposite Films for Food Packaging
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsPolycaprolactoneMaterials scienceCopolymerChitosanUltimate tensile strengthDimethyl sulfoxideChemical engineeringSwellingPorosityComposite materialPolymer chemistryOrganic chemistryChemistryPolymer

Abstract

fetched live from OpenAlex

Abstract Chitosan‐ g ‐polycaprolactone copolymers (CPCs) with desired composition proportions were synthesized by carefully controlling the weight ratio of polycaprolactone side chains changing approximately between 45 and 48 wt% so that the obtained CPCs could be further processed via different processing techniques. Aqueous acetic acid solutions and dimethyl sulfoxide were respectively employed as solvents to fabricate CPCs into fibrous mesh scaffolds that had nearly similar parameters characterized by the average porosity and pore‐size of scaffolds as well as the average diameter of filaments under optimal processing conditions. The swelling index, surface group analysis, antibacterial activity and tensile mechanical properties of these mesh scaffolds were investigated in several ways, and the scaffolds showed quite different properties due to the different processing methods employed, although the same type of CPC was used. Copyright © 2008 John Wiley &amp; Sons, Ltd.

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)0.000
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 score0.019
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
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.213
Teacher spread0.200 · 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