MétaCan
Menu
Back to cohort
Record W2048061814 · doi:10.1002/mame.201100363

On the Viscoelastic Properties of Collagen‐Gel‐Based Lattices under Cyclic Loading: Applications for Vascular Tissue Engineering

2012· article· en· W2048061814 on OpenAlex
Matteo Achilli, Sébastien Meghezi, Diego Mantovani

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 Materials and Engineering · 2012
Typearticle
Languageen
FieldMaterials Science
TopicCollagen: Extraction and Characterization
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsViscoelasticityMaterials scienceElasticity (physics)Composite materialTissue engineeringHysteresisBiomedical engineering

Abstract

fetched live from OpenAlex

Abstract Reconstituted collagen gels are widely used as scaffolds even though their low strength and poor elasticity limit their applications in VTE. Here, two approaches are adopted to modify their mechanical behavior: in the first, gels prepared under physiologic conditions are remodeled by cell‐mediated contraction; in the second, gels prepared in non‐physiologic conditions are chemically crosslinked. Samples are tested under cyclic loading and their viscoelastic behavior is assessed. The results show that both approaches result in lattices with adequate strength, and crosslinking significantly reduces hysteresis and permanent deformation. SEM shows that SMCs are capable of contracting and remodeling all the lattices, confirming that these are suitable supports for tissue regeneration. magnified image

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 score0.098
Threshold uncertainty score0.540

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 head0.014
GPT teacher head0.216
Teacher spread0.202 · 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