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Record W1641854233

Effect of hand-arm vibration and proximal neuropathy on current perception threshold measurement in the fingers

2011· article· en· W1641854233 on OpenAlexaffvenue
Ron House, Kristine Krajnak, Depeng Jiang

Bibliographic record

VenueCanadian acoustics · 2011
Typearticle
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsUniversity of ManitobaUniversity of Toronto
Fundersnot available
KeywordsSensationMedicineUlnar neuropathyUlnar nervePhysical medicine and rehabilitationNerve conductionNerve conduction studyPhysical examinationMedian nerveAudiologySurgeryPsychologyElbow
DOInot available

Abstract

fetched live from OpenAlex

A study was carried out to determine if hand-arm vibration exposure is associated with current perception threshold (CPT) measurement in the fingers after controlling for neuropathy proximal to the hand measured by nerve conduction testing. All of the 165 participants had a detailed occupational and medical history and physical examination to ensure that no other conditions were present that might affect sensation in the hands. All of the participants had nerve conduction tests and measurement of CPT in each hand. The results show that 48 participants have median neuropathy on the right upper extremity and 30 on the left and 10 had ulnar neuropathy on the right side and 8 on the left. It is therefore found that despite the high prevalence of proximal neumpathy in workers exposed to hand-arm vibration, there is an effect on nerve fibre damage in the fingers due to hand-arm vibration that cannot be explained by common median or ulnar neuropathies proximal to the hand.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.288
Teacher spread0.242 · 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 designObservational
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
Published2011
Admission routes2
Has abstractyes

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