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Record W2417719514 · doi:10.1385/1-59259-428-x:49

Characterization of a Calcium Phosphate-Based Matrix for rhBMP-2

2003· article· en· W2417719514 on OpenAlexaff
Hyun D. Kim, John M. Wozney, Rebecca H. Li

Bibliographic record

VenueHumana Press eBooks · 2003
Typearticle
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsBone morphogenetic proteinBone morphogenetic protein 2Mesenchymal stem cellRegeneration (biology)Matrix (chemical analysis)Progenitor cellCell biologyBone morphogenetic protein 7MedicineChemistryIn vitroStem cellBiologyBiochemistry

Abstract

fetched live from OpenAlex

Bone morphogenetic proteins (BMPs) are members of the transforming growth factor-β (TGF-β) superfamily of proteins that have crucial roles in growth and regeneration of skeletal tissues. In particular, recombinant human bone morphogenetic protein-2 (rhBMP-2) has been shown to induce new bone formation by differentiation of mesenchymal progenitor cells into osteoblasts (1). BMPs act locally, and thus for a clinically beneficial outcome, a carrier matrix is required to retain therapeutic levels of BMP at the repair site (2,3). The potent osteoinductive ability of BMP-2 has been demonstrated in numerous preclinical (4–9) and clinical studies (10–14). Recent data from clinical trials have reported success in the areas of open fracture repair (10,14), interbody spinal fusion (11), and maxillofacial reconstruction (12,13) using rhBMP-2 delivered in an absorbable collagen sponge (ACS). Because rhBMP-2/ACS requires implantation, there is a continuing need for an easily injectable carrier to deliver rhBMP-2 percutaneously to closed fractures. Here, we outline characterization of a calcium phosphate (CaP)-based injectable carrier as a delivery matrix for rhBMP-2.

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)0.000
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 score0.293
Threshold uncertainty score0.676

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 head0.036
GPT teacher head0.252
Teacher spread0.216 · 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

Citations7
Published2003
Admission routes1
Has abstractyes

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