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Record W7036010698

The analysis of fractured Ti-6Al-4V modular revision hip stems with the use of radiographic assessment, finite element analysis, and mechanical testing

2008· dissertation· en· W7036010698 on OpenAlexfundno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2008
Typedissertation
Languageen
FieldComputer Science
TopicEducational Challenges and Innovations
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsModular designFinite element methodRadiographyPoint (geometry)Computed tomographyStress (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Five failed retrieved modular Ti-6A1-4V hip stems were examined to determine causes of failure.Investigation included microscopic and macroscopic analysis, finite element analysis, and mechanical testing of the modular hip implant.Method of failure was found to be fatigue, with crack initiation occurring on the lateral side of the modular junction.Bony ingrowth across the modular junction and on the proximal body was not present on both medial and lateral sides.Finite element analysis confirmed that the highest point of stress was where the crack was initiating, its magnitude, and that by case.This implies that examining patient radiographs are not exact and will only suggest certain findings, which must be confirmed or refuted by visual inspection of the Medial Bone Insrowth at BodvLateral Bone Insrowth at Bodv Distal Bone

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)0.001
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.256
Teacher spread0.209 · 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
Published2008
Admission routes1
Has abstractyes

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