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Record W2056531535 · doi:10.1097/tgr.0b013e3181fee736

Fitness and Mobility Exercise Program for Stroke

2010· article· en· W2056531535 on OpenAlexafffund
Janice J. Eng

Bibliographic record

VenueTopics in Geriatric Rehabilitation · 2010
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchU.S. Public Health Service
KeywordsPsychosocialStroke (engine)Physical medicine and rehabilitationMedicinePhysical fitnessPhysical therapyBalance (ability)Physical activityGerontologyCognitionCardiovascular fitnessPsychiatry

Abstract

fetched live from OpenAlex

Given the potential of exercise to positively influence so many physical and psychosocial domains, the Fitness and Mobility Exercise (FAME) Program was developed to address the multiple impairments arising from the chronic health condition of stroke. We present the details of this exercise program and the evidence which has shown that the FAME Program can improve motor function (muscle strength, balance, walking), cardiovascular fitness, bone density, executive functions and memory. The FAME Program can help to improve the physical and cognitive abilities of people living with a stroke and reduce the risk of secondary complications such as falls, fractures and heart disease.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.302
Teacher spread0.294 · 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.

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

Citations53
Published2010
Admission routes2
Has abstractyes

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