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Record W7042590452

Pre-osteoblast response to three-dimensional titanium scaffolds for bone regeneration applications

2004· dissertation· en· W7042590452 on OpenAlexfundaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2004
Typedissertation
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiocompatibilityExtracellular matrixTitaniumBone tissueBiocompatible materialCell adhesionAdhesionPorosityBiomaterial
DOInot available

Abstract

fetched live from OpenAlex

Porous metals are often used in orthopaedic load-bearing applications because they promote and direct bone ingrowth while maintaining their mechanical integrity for long periods in physiological environments. However, the influence of microstructural parameters of three-dimensional metallic scaffolds on osteogenic cell response must be studied to improve their design. This study aims to study the biocompatibility and osteoconductivity of novel titanium foams with three pore sizes in vitro and to gain knowledge on the mechanisms by which bone is formed within three-dimensional structures. This is achieved through studies of the cell viability of macrophages and adhesion kinetics, proliferation, differentiation, and mineralization of the extracellular matrix by MCT3-E1 mouse pre-osteoblasts. Results indicate that porous titanium promotes the generation of mineralized extracellular matrix by differentiating pre-osteoblasts and stress the importance of controlling the pore size to allow the impregnation of the structure by tissue.

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 score0.009
Threshold uncertainty score0.031

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)0.0090.002

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 head0.010
GPT teacher head0.226
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 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

Citations0
Published2004
Admission routes2
Has abstractyes

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