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Record W2560455325

Third Body Wear Behavior of Orthopaedic Biopolymers

2016· article· en· W2560455325 on OpenAlexvenueno aff
Binnur Sağbaş, M. Numan Durakbaşa

Bibliographic record

VenueInternational Journal of Mining Materials and Metallurgical Engineering · 2016
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceTribologyComposite materialLubricationForensic engineering
DOInot available

Abstract

fetched live from OpenAlex

Third-body wear of orthopedic materials is very important parameter that affects the service life of artificial joints. UHMWPE has been the most preferred acetabular cup material for the past four decades. However wear is the primary problem waiting for to be solved. The wear debris of UHMWPE causes adverse tissue reactions and third-body wear damages which cause implant failure. For enhancement of UHMWPE tribological properties new materials such as vitamin E blended UHMWPE (VE-UHMWPE) have been developed for extending the implants life. Although many researches have been done about tribological behavior of conventional UHMWPE, there are limited numbers of study about third-body wear mechanism of vitamin E blended UHMWPE (VE- UHMWPE). The objective of this study is to determine the effect of PMMA bone cement as third-body particles on wear behavior of conventional UHMWPE and VE-UHMWPE. Pin-on-disc wear tests were applied under 60 N load and 3 hours in ultrapure water lubrication conditions. The results were evaluated for determining wear mechanism of disc materials.

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 score0.225
Threshold uncertainty score0.510

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 head0.011
GPT teacher head0.251
Teacher spread0.240 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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