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Biomaterials and Modifications in the Development of Small-Diameter Vascular Grafts

2016· article· en· W2504586446 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

VenueACS Biomaterials Science & Engineering · 2016
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsHospital for Sick Children
FundersNational Institute of Biomedical Imaging and BioengineeringNational Health and Medical Research CouncilAustralian Research Council
KeywordsBiocompatibilityVascular graftBiomedical engineeringMaterials scienceExtracellular matrixNanotechnologyMedicineChemistry

Abstract

fetched live from OpenAlex

There remains a significant clinical need for an alternative to autologous vein grafts in small-diameter applications such as coronary bypass, but no clinically viable, synthetic small-diameter vascular grafts have been developed. While ePTFE and Dacron have long been used for large diameter grafts, it is likely that in small-diameter, low flow conditions, alternative materials and techniques are required, which have shown promising experimental results through enhancing compliance, biocompatibility, and endothelialization of vascular grafts. It is likely that the integration of synthetic materials that possess optimized mechanical properties combined with techniques for improved biocompatibility, such as the use of pure extracellular matrix proteins, will be the impetus for the creation of a new generation of clinically viable, small-diameter vascular substitutes.

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)0.003
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 score0.057
Threshold uncertainty score0.444

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.238
Teacher spread0.222 · 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