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Record W1972761856 · doi:10.1002/jbm.a.32376

Response of rat osteoblasts to polycaprolactone/chitosan blend porous scaffolds

2009· article· en· W1972761856 on OpenAlexaff
Hua Wu, Ying Wan, Siqin Dalai, Rui Zhang

Bibliographic record

VenueJournal of Biomedical Materials Research Part A · 2009
Typearticle
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsPolycaprolactoneMaterials scienceChitosanAdhesionChemical engineeringPorosityAlkaline phosphataseBiomedical engineeringComposite materialOrganic chemistryPolymerChemistry

Abstract

fetched live from OpenAlex

Novel porous polycaprolactone/chitosan blend scaffolds were fabricated via a particle-leaching technique using hexafluoro-2-propanol as a shared solvent and salt particles as porogen. By selecting optimized processing conditions, numerous blend scaffolds were already built with well-controlled porous structures and approximately similar pore parameters. The interactions between these scaffolds and the rat osteoblasts were further investigated by measuring the adhesion, proliferation, and morphologies of cells as well as the corresponding alkaline phosphatase activity during various culture periods in vitro. Data collected from different measurements reflected that by incorporating an appropriate amount of chitosan component, the resultant blend scaffolds could improve the adhesion and growth of osteoblasts and exert a significant impact on the osteoblastic phenotype.

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.

How this classification was reachedexpand

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 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 score0.004
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.025
GPT teacher head0.316
Teacher spread0.291 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations39
Published2009
Admission routes1
Has abstractyes

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