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Record W2134468034 · doi:10.1080/03093640500217208

Are Canadian Prostheses Used? A Long-Term Experience

2005· article· en· W2134468034 on OpenAlexaboutno aff
Ángel L. Fernández, J. Formigo

Bibliographic record

VenueProsthetics and Orthotics International · 2005
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
Fundersnot available
KeywordsProsthesisMedicineAmputationEtiologyHemipelvectomyRehabilitationSurgeryPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

The Canadian prosthesis is indicated for the more proximal levels of amputation of the lower limb (very short trans-femoral, hip disarticulation and hemipelvectomy cases); it is frequently rejected by many patients for different reasons (awkwardness, intolerance of the socket, excessive energy expenditure to ambulate among others). The objective was to analyse the use or rejection of Canadian prostheses (n = 23) after an 8-year follow-up study (range: 2 -16 years). The sample consisted of 52% men and 48% women, and the average age at the time of amputation was 52.26 +/- 19.71 SD years (range: 1-74 years). The most frequent aetiology was malignant tumour (56.5%). Eight of the subjects continued to use the prosthesis through the entire study (34.7%). Gender, age, and aetiology were not significant determinants of use. The daily use was 12.5 h per day. The rejection of the Canadian prosthesis was after 20 months of use (range: 2-48 months), and the main reasons were death (all tumour causes), intolerance to the socket, or difficulty in ambulation. In conclusion, many years after their discharge from rehabilitation services, more than one-third of the sample (34.7%) were wearers of the Canadian prosthesis.

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)0.007
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 score0.282
Threshold uncertainty score0.568

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.249
Teacher spread0.234 · 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

Citations32
Published2005
Admission routes1
Has abstractyes

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