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Corneal Implantation with Collagen-Copolymer Matrices

2005· article· en· W2090114430 on OpenAlex
Fengfu Li, David Carlsson, Chris P. Lohmann, Donna Bueckert, Réjean Munger, May Griffith

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueKey engineering materials · 2005
Typearticle
Languageen
FieldMedicine
TopicCorneal surgery and disorders
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaSanten
KeywordsCopolymerMaterials sciencePolymer scienceComposite materialPolymer

Abstract

fetched live from OpenAlex

Abstract. A transparent matrix composed of collagen and poly(N, N-dimethylacrylamide-co-acryloxysuccimide), 8mm in diameter and 350µm thick was implanted into pigs ’ corneas using the lamellar keratoplasty (LKP) technique. No adverse immune or inflammatory reaction was observed during 4 month implantation period. Regenerated nerve filaments were observed in the subepithelial region and stroma by confocal microscopy. The endothelium of the operated eye was not touched by LKP and remained similar to that of the contra lateral (not operated) eye. The implant remained transparent over the four-month post-operative period, and clinical topography showed reconstitution of a smooth cornea surface. These preliminary results indicated that a new, functional cornea was re-established from the implanted biosynthetic matrix. This bio-synthetic matrix may have applications in other tissue engineering areas, especially where innervation is important.

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 score0.061
Threshold uncertainty score0.863

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)0.0010.000

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 head0.006
GPT teacher head0.211
Teacher spread0.205 · 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