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Record W2883449358 · doi:10.1002/ppap.201800040

Plasma polymer films to regulate fibrinogen adsorption: Effect of pressure and competition with human serum albumin

2018· article· en· W2883449358 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 · 2018
Typearticle
Languageen
FieldMedicine
TopicBlood properties and coagulation
Canadian institutionsMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsAdsorptionHuman serum albuminFibrinogenPolymerProtein adsorptionKineticsCoatingChemical engineeringChemistryPolyethyleneAlbuminMaterials sciencePolymer chemistryChromatographyOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Low‐pressure plasma‐deposited C 2 H 4 and C 4 H 6 films containing N‐ and O‐groups, are used to regulate fibrinogen (Fg) adsorption in the presence of human serum albumin (HSA), with the long‐term intention of achieving control over platelet activation. This work includes a study of the effect of pressure on the films’ surface chemistry, stability in phosphate buffer solution (PBS), and Fg adsorption. Tribometry tests against a polyethylene surface, in PBS, indicated that N‐rich films were more susceptible to wear than the O‐rich coating. Adsorption kinetics showed a distinct peak which suggested a multilayer formation of HSA owing to adsorption from a highly concentrated solution. Results conclude that Fg adsorption in the presence of a high concentration of HSA can still be regulated by the careful choice of film surface chemistry.

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 score0.301
Threshold uncertainty score0.520

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 head0.008
GPT teacher head0.231
Teacher spread0.223 · 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