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Record W2179113408

Exercise is fun? You’re kidding right?

2013· article· en· W2179113408 on OpenAlexfundaboutno aff
CS Srikesavan, Tony Szturm, Barbara Shay, Joice Peters

Bibliographic record

VenueOxford University Research Archive (ORA) (University of Oxford) · 2013
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
FundersInstitute of Musculoskeletal Health and ArthritisMedical Research CouncilCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaAtlantic Canada Opportunities AgencyBrigham and Women's HospitalNova Scotia Health Research FoundationDepartment of Health, Western Cape GovernmentMedical Research Council CanadaNova Scotia Department of Health and WellnessArthritis SocietyCanadian Arthritis NetworkUniversité LavalUniversity of CambridgeMuscular Dystrophy CanadaGovernment of CanadaVancouver Coastal Health Research InstituteMuscular Dystrophy AssociationBC Cancer AgencyAlberta Health Services
KeywordsRehabilitationEveryday lifeActivities of daily livingFunction (biology)GerontologySocial functionPhysical therapyMedicinePsychologyPhysical medicine and rehabilitationSociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Introduction: It’s no sleight of hand — a computer based rehabilitation platform we developed at the University of Manitoba is helping to monitor and improve hand function among people with arthritis that affects their hands. Difficulties performing everyday activities when patients have arthritis of the hand is accepted as part of the disease, leading to more disability and restricted participation in the activities of daily living, including social life. Our platform meets the urgent need for home programs (HP) supplemented with informed client support and regular monitoring, to improve hand function and, in doing so, relieve disability and restore some of the satisfactions of daily life.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.143
Threshold uncertainty score0.478

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1430.049

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 head0.026
GPT teacher head0.268
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 designNot applicable
Domainnot available
GenreCommentary

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
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueOxford University Research Archive (ORA) (University of Oxford)Same topicStroke Rehabilitation and RecoveryFrench-language works237,207