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Record W2093020649 · doi:10.1002/mabi.201100211

Protein‐Resistant and Fibrinolytic Polyurethane Surfaces

2011· article· en· W2093020649 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

VenueMacromolecular Bioscience · 2011
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Surface Interaction Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPlasminChemistryProtein adsorptionGraftingPolymer chemistryCopolymerPolyurethaneAdsorptionFibrinogenPEG ratioLysinePolymerChemical engineeringBiochemistryOrganic chemistryAmino acidEnzyme

Abstract

fetched live from OpenAlex

Surfaces with resistance to non-specific protein adsorption and a high capacity to bind plasminogen from plasma are developed for application as fibrinolytic surfaces in blood contact. A new method is reported for grafting poly(OEGMA-co-HEMA) copolymers on polyurethane surfaces. The OEGMA provides effective protein resistance due to the PEG side chains and the HEMA provides a high density of OH groups for attachment of lysine. Adsorption of fibrinogen from buffer and plasma to these surfaces is low, indicating significant protein resistance. Plasminogen binding from plasma is high, and clot dissolution on surfaces where plasminogen adsorbed from plasma is converted to plasmin is rapid.

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 score0.005
Threshold uncertainty score0.661

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 studies0.0000.001
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 head0.024
GPT teacher head0.236
Teacher spread0.212 · 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