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Record W2053731686 · doi:10.1080/10601325.2012.714692

Synthesis and Morphology of poly(N-isopropylacrylamide) Nanocomposites with Emulsion Templated Nanoporous Structure

2012· article· en· W2053731686 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Macromolecular Science Part A · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHydrogels: synthesis, properties, applications
Canadian institutionsUniversity of Waterloo
FundersUniversity of Waterloo
KeywordsPolydimethylsiloxaneNanoporousPoly(N-isopropylacrylamide)Chemical engineeringSelf-healing hydrogelsMaterials scienceMorphology (biology)PolymerizationScanning electron microscopePolymerNanoparticlePolymer chemistrySodium dodecyl sulfateCopolymerNanotechnologyChemistryComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

In this study, poly(N-isopropylacrylamide) (PNIPAAM) hydrogels were synthesized via a liquid template polymerization method using 200–400 nm polydimethylsiloxane (PDMS) droplets as the porogens, which were stabilized by sodium dodecyl sulfate (SDS). Similar hydrogels were also synthesized with iron (III) oxide superparamagnetic nanoparticles embedded within the gel. These gels were subjected to freeze- or air-drying, and then imaged using scanning electron microscopy. It was found that pores were not accessible from the surface of the freeze-dried gels, but were visible on the surface parallel to the crack plane within the polymer. In contrast, air-dried gels exhibited a well-defined nanoporous structure on the surface. The iron oxide nanoparticles did not have a significant effect on the hydrogel morphology.

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 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 score0.005
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.236
Teacher spread0.227 · 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