MétaCan
Menu
Back to cohort
Record W2098311679 · doi:10.1080/1539445x.2011.552760

Preparation of the Pure Poly(ϵ-caprolactone)-Urea Complex by Electrospray

2011· article· en· W2098311679 on OpenAlexafffund
Hélène Antaya, Christian Pellerin

Bibliographic record

VenueSoft Materials · 2011
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCaprolactoneElectrosprayDifferential scanning calorimetryMaterials scienceCrystallizationPolycaprolactoneMoleculeChemical engineeringPolymerElectrospinningUreaPolymer chemistryMass spectrometryChemistryOrganic chemistryChromatographyCopolymer

Abstract

fetched live from OpenAlex

In this work, we demonstrate that electrospray is a simple and efficient method for preparing pure supramolecular complexes between a polymer and a small molecule. Such complexes are often difficult to prepare by conventional methods because of the kinetically favored crystallization of the small molecules. However, the fast solvent evaporation involved in electrospray can circumvent small molecule crystallization. Pure samples of the poly(ϵ-caprolactone)-urea complex were successfully prepared for the first time using the electrospray technique. Infrared spectroscopy, X-ray diffraction and differential scanning calorimetry were used to confirm the purity of the electrosprayed complex and to determine the phase diagram for this system. The electrospray method is similar in concept to the electrospinning approach that we have recently demonstrated, but it proves to be complementary for some challenging samples such as the poly(ϵ-caprolactone)-urea complex.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.272
Teacher spread0.253 · 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 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

Citations2
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueSoft MaterialsSame topicElectrospun Nanofibers in Biomedical ApplicationsFrench-language works237,207