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Finite Element Analysis of a Lumbar Vertebra Reconstructed by Biocomposite Alloplastic Grafts

2018· article· en· W2801150093 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvanced engineering forum · 2018
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsBiocompositeMaterials scienceVertebraTitaniumLumbar vertebraeBiomedical engineeringLumbarComposite materialAnatomyMedicineMetallurgy

Abstract

fetched live from OpenAlex

This research approaches the fourth lumbar (L4) vertebra reconstruction by a tronconic alloplastic graft fabricated by a powder metallurgy technology using Ca 5 (PO 4 ) 3 (OH) (hydroxyapatite), TiH 2 (titanium hydride) and CaCO 3 (calcium carbonate) particles as initial powder mixture. The high frequency of the L4 vertebra fractures due to motor vehicle traffic accidents justify the necessity of vertebral reconstruction. This approach simulates the biomechanical behavior of the ANSYS model consisting in the L4 vertebra and the tronconic biocomposite graft during the frontal impact load. The von Misses stress and strain responses from the model depend on the physical and mechanical properties of the biocomposite grafts, experimentally determined. The best simulated mechanical behavior corresponds to the mechanical shielding phenomenon occurring from the biocomposite graft on behalf of the L4 vertebra.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.637

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.218
Teacher spread0.214 · 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