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Record W3214255602 · doi:10.1115/imece2000-2494

Finite Element Analysis of a Test Specimen for Adhesion of Bone Cement to Steel Implants

2000· article· en· W3214255602 on OpenAlexaff
Nitin Chhabra, David W. Nicholson, Larry Chew, Vimal Desai, S. Raab

Bibliographic record

VenueAdvances in Bioengineering · 2000
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsXenon Pharmaceuticals (Canada)
Fundersnot available
KeywordsMaterials scienceImplantAdhesiveDurabilityBone cementCementCoatingComposite materialBone tissueBiomedical engineeringLayer (electronics)SurgeryMedicine

Abstract

fetched live from OpenAlex

Abstract Stable fixation of an orthopaedic implant to bone cement is critical to long term stability and durability in joint replacement. Poor interfacial bonding between metal and bone cement also leads to the formation of a nonadherent fibrous capsule in both soft and hard tissues, which can result in micromovement at the implant-tissue interface and ultimate failure of the implant. It is believed that some of the difficulties encountered by metallic implant devices can be reduced by the use of bioactive materials on the implant surface. In the current study MMA/HEMA coating, at a nominal thickness of 2mm, is present at the bone cement-metal interface. The MMA/HEMA coating is in the development stage. The goals of the present study are to assess the strength of the adhesive bond under loading and to assess its effectiveness with respect to increasing the osteoconductivity of the implant.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.011
GPT teacher head0.278
Teacher spread0.267 · 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 designSimulation or modeling
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
Published2000
Admission routes1
Has abstractyes

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