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Record W2914640257 · doi:10.33137/cpoj.v1i2.32025

AN IMMEDIATE FIT AND ADJUSTABLE TRANSTIBIAL PROSTHETIC SYSTEM; A PROSPECTIVE FEASIBILITY AND EFFICACY STUDY

2018· article· en· W2914640257 on OpenAlexvenueaboutno aff
Timothy R. Dillingham, Jessica Kenia, Frances S. Shofer, Jim Marschalek

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
FundersNational Center for Medical Rehabilitation ResearchNational Institute on AgingNational Institutes of HealthUniversity of Pennsylvania
KeywordsProsthesisProspective cohort studyPhysical medicine and rehabilitationPhysical therapyMedicineOrthoticsPopulationModular designComputer scienceSurgery

Abstract

fetched live from OpenAlex

INTRODUCTION
 Limb loss rates globally are rising and there is a large unmet need for an affordable and accessible prosthetic system for this growing US and International population. The purpose of this prospective cohort study was to assess the feasibility and utility of a novel immediate fit modular prosthetic system (IFIT Prosthetics, LLC™ prosthesis) for transtibial amputees.
 Abstract PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/32025/24442
 How to cite: Dillingham T.R, Kenia J, Shofer F.S, Marschalek J. AN IMMEDIATE FIT AND ADJUSTABLE TRANSTIBIAL PROSTHETIC SYSTEM; A PROSPECTIVE FEASIBILITY AND EFFICACY STUDY. CANADIAN PROSTHETICS & ORTHOTICS JOURNAL, VOLUME 1, ISSUE 2, 2018; ABSTRACT, POSTER PRESENTATION AT THE AOPA’S 101ST NATIONAL ASSEMBLY, SEPT. 26-29, VANCOUVER, CANADA, 2018. DOI: https://doi.org/10.33137/cpoj.v1i2.32025 
 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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.244
Teacher spread0.231 · 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 teacher head, not a consensus.

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

Citations1
Published2018
Admission routes2
Has abstractyes

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