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Record W3162184911 · doi:10.2106/jbjs.cc.20.00739

Brachial Plexus Reconstruction Using Long Nerve Grafts as Spare Parts From an Amputated Limb

2021· article· en· W3162184911 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

VenueJBJS Case Connector · 2021
Typearticle
Languageen
FieldMedicine
TopicNerve Injury and Rehabilitation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBrachial plexusMedicineMusculocutaneous nerveSurgeryReconstructive surgerySpare partElbow flexionBrachial plexus injuryAnatomyElbowEngineering

Abstract

fetched live from OpenAlex

CASE: The reconstruction of large nerve gaps remains a reconstructive challenge. Here, we present a case report of brachial plexus reconstruction using nerve grafts harvested as spare parts from an amputated limb. It also allowed us to use motor nerve grafts to reconstruct defects in the posterior cord and musculocutaneous nerve. The patient recovered good shoulder and elbow function at 2.5 years with evidence of innervation distally on electromyography. CONCLUSION: Spare part surgery should always be kept in a surgeons' reconstructive algorithm. Reconstruction of large nerve gaps can be achieved with autologous nerve grafts in certain circumstances.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.033
GPT teacher head0.327
Teacher spread0.294 · 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