MétaCan
Menu
← Back to cohort
Record W1580079809 · doi:10.1109/isbi.2015.7163802

Stress variations owing to single-stance load and sideways fall result in fracture at proximal femur

2015· article· en· W1580079809 on OpenAlexaff
Tanvir R. Faisal, Yunhua Luo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFemoral neckFracture (geology)Ultimate tensile strengthFemurMaterials scienceStress (linguistics)OrthodonticsGeologyComposite materialMedicineOsteoporosis

Abstract

fetched live from OpenAlex

Femoral neck region is the weakest in which the fracture takes place when someone falls sideways. The sideways fall develops peak tensile and compressive stresses in the inferior and superior surfaces of the femoral neck, whereas the state of stress is reversed for a single-stance loading. Therefore, a CT based finite element analysis can be an effective tool for determining the state of stresses at the femoral neck region to predict the probability of fracture considering the 3D complex geometry of femur, its material properties and load conditions. The present work aims to represent the mechanism of hip fracture at the femoral neck region due to sideways fall, which results in greater tensile and compressive stresses at the femoral neck.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.271
Teacher spread0.238 · 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

Citations5
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicOrthopaedic implants and arthroplasty→French-language works237,207→