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Record W2913301953 · doi:10.33137/cpoj.v1i2.32030

SATISFACTION AND EXPERIENCE WITH THE UNITY SUSPENSION SYSTEM

2018· article· en· W2913301953 on OpenAlexafffundvenueabout
Hossein Gholizadeh, Edward D. Lemaire, David Nielen, Patrick Lebel

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsUniversity of OttawaOttawa Hospital
FundersMitacs
KeywordsSuspension (topology)Physical medicine and rehabilitationPsychologyMedicineComputer sciencePhysical therapyMechanical engineeringEngineeringMathematics

Abstract

fetched live from OpenAlex

BACKGROUND While elevated vacuum suspension systems have some benefits over the other suspension approaches 1–5, elevated vacuum may not be appropriate for all amputees. The Unity sleeveless vacuum suspension system was developed to overcome issues related to knee range of motion and amputees comfort 6. This study compared the Unity suspension system with suction and pin/lock systems based on user satisfaction and experience with these systems. Abstract PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/32030/24447 How to cite: Gholizadeh H, Lemaire E.D, Nielen D, Lebel P. SATISFACTION AND EXPERIENCE WITH THE UNITY SUSPENSION SYSTEM. CANADIAN PROSTHETICS & ORTHOTICS JOURNAL, VOLUME 1, ISSUE 2, 2018; ABSTRACT, ORAL PRESENTATION AT THE AOPA’S 101ST NATIONAL ASSEMBLY, SEPT. 26-29, VANCOUVER, CANADA, 2018.DOI: https://doi.org/10.33137/cpoj.v1i2.32030 Abstracts were Peer-reviewed by the American Orthotic Prosthetic Association (AOPA) 101st National Assembly Scientific Committee. http://www.aopanet.org/

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)0.002
metaresearch head score (Gemma)0.011
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 score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.005
GPT teacher head0.187
Teacher spread0.182 · 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

Citations0
Published2018
Admission routes4
Has abstractyes

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Same venueCanadian Prosthetics & Orthotics JournalSame topicProsthetics and Rehabilitation RoboticsFrench-language works237,207