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Acellularization of Human Placenta With Preservation of the Basement Membrane

2003· article· en· W1990088683 on OpenAlexaff
Richard A. Hopper, Kimberly A. Woodhouse, John L. Semple

Bibliographic record

VenueAnnals of Plastic Surgery · 2003
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsExtracellular matrixBasement membraneTissue engineeringCell biologyScaffoldPlacentaDecellularizationMatrix (chemical analysis)MedicineAnatomyPathologyBiomedical engineeringBiologyChemistryFetus

Abstract

fetched live from OpenAlex

Basement membrane directs cell migration, cell adherence, and tissue organization in vivo. These qualities would be advantageous in tissue engineering, during which repopulation of scaffolds by functional cells is a common problem. The purpose of this study was to expose human term placenta to a chemical acellularization protocol using the isolated cotyledon perfusion technique to develop an acellular scaffold rich in extracellular matrix components for tissue engineering applications. The processed blocks of tissue demonstrated no cellular material on histologic examination. Periodic acid-Schiff staining, type IV collagen labeling, and transmission electron microscopy demonstrated preservation of the extracellular matrix and basement membrane. Maintenance of the extracellular matrix architecture was seen on scanning electron microscopy. Placenta-derived acellular matrix is a potential volume scaffold for tissue engineering. It is rich in extracellular matrix, has a complex architecture of vascular channels, and has unique donor opportunities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.064
GPT teacher head0.283
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), 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

Citations46
Published2003
Admission routes1
Has abstractyes

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