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Record W3122171187 · doi:10.1002/ppap.202000191

Permeation‐resistant and flexible plasma‐polymerised films on 2‐hydroxyethyl methacrylate hydrogels

2021· article· en· W3122171187 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

VenuePlasma Processes and Polymers · 2021
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSelf-healing hydrogelsPermeationAqueous solutionChemical engineeringMaterials scienceMethacrylatePolymerPlasma polymerizationPolymer chemistryPolymerizationX-ray photoelectron spectroscopyScanning electron microscopeChemistryMembraneComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract This study focuses on the deposition of plasma polymer films (PPFs) on hydrogels that could act as permeation barriers for aqueous species. The deposited PPFs on hydrogels were studied in terms of their ability to resist the permeation of an aqueous dye molecule after 24‐h exposure to an aqueous solution and mechanical stress. Permeation of the dye toluidine blue O through the hydrogels after plasma polymerisation was at least 75% less than that through an untreated hydrogel. The X‐ray photoelectron spectroscopy analysis showed introduction of O‐ and N‐rich chemical functionalities in the surface chemical composition of the hydrogel after plasma polymerisation. Scanning electron microscope imaging pointed out that milder plasma conditions result in uniform films that do not degrade upon exposure to water or mechanical stress.

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), Insufficient payload (model declined to judge)
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 score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.020
GPT teacher head0.247
Teacher spread0.228 · 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