MétaCan
Menu
Back to cohort
Record W2003143819 · doi:10.1002/jbm.a.31030

Developing an alginate/chitosan hybrid fiber scaffold for annulus fibrosus cells

2007· article· en· W2003143819 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

VenueJournal of Biomedical Materials Research Part A · 2007
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsScaffoldMaterials scienceChitosanTissue engineeringExtracellular matrixBiomedical engineeringCell cultureFiberAggrecanIntervertebral discSpheroidBiophysicsAnatomyCell biologyComposite materialChemistryPathologyBiologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

A fibrous scaffold made of alginate or alginate/chitosan was fabricated for annulus fibrosus (AF) cell culture using a wet-spinning and lyophilization technique. The scaffolds were evaluated using several in vitro tests. Scanning electron microscopy showed the scaffold fibers generally aligned in one direction with individual fiber diameters varying between 40-100 microm. The alginate/chitosan hybrid scaffold exhibited a slower degradation rate, while both scaffold types did not display any cyto-toxicity to 3T3 fibroblasts and could maintain canine AF cell growth. The AF cells retained their spherical shape within the fibrous scaffold at the beginning of the culture period and formed into cell clusters at later times. Specific extracellular matrix molecules, including collagen I, collagen II, and aggrecan, could be detected in the AF cell clusters. These results demonstrate the feasibility of using this hybrid alginate/chitosan scaffold for AF cell culture, and the potential application for intervertebral disc tissue engineering.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.108
GPT teacher head0.440
Teacher spread0.333 · 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