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Record W2200042439 · doi:10.1080/03602559.2015.1038837

Swelling Behavior of Hydrogels within Auxetic Polytetrafluoroethylene Jacket

2015· article· en· W2200042439 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

VenuePolymer-Plastics Technology and Engineering · 2015
Typearticle
Languageen
FieldEngineering
TopicCellular and Composite Structures
Canadian institutionsUniversity of Victoria
FundersTürkiye Bilimsel ve Teknolojik Araştırma Kurumu
KeywordsSwellingSelf-healing hydrogelsMaterials sciencePolytetrafluoroethyleneAuxeticsComposite materialParticle (ecology)Absorption of waterPolymerizationRadical polymerizationAcrylamidePolymer chemistryPolymerMonomer

Abstract

fetched live from OpenAlex

An acrylamide type hydrogel consisting of 2-acrylamido-2-methyl-1-propanesulfonic acid was synthesized using free radical suspension polymerization. Hydrogel particles were then loaded within an auxetic polytetrafluoroethylene jacket. It was found that the swelling ratio of the hydrogels within the jacket can be controlled by changing the loaded particle’s amount and size without the wear and tear of jacket due to the auxetic effect. Increasing swelling ratio with finer hydrogel particles was observed due to higher surface area. On the other hand, increasing hydrogel particle amount resulted in a decrease in water absorption due to diminished free volume for swelling within the jacket.

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 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 score0.069
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.007
GPT teacher head0.186
Teacher spread0.179 · 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