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Record W2732770816 · doi:10.1093/geroni/igx004.079

COGNITIVE TRAINING, PHYSICAL EXERCISE, AND COMBINED INTERVENTION TO IMPROVE GAIT IN OLDER ADULTS

2017· article· en· W2732770816 on OpenAlexaff
Louis Bherer

Bibliographic record

VenueInnovation in Aging · 2017
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsCognitionGaitPhysical medicine and rehabilitationCognitive trainingIntervention (counseling)Context (archaeology)Physical therapyPsychologyPopulationCognitive InterventionCognitive declinePhysical exerciseMedicineGerontologyDementiaPsychiatryDisease

Abstract

fetched live from OpenAlex

A great amount of research in the past decades was oriented towards finding effective ways to enhance cognitive functioning and mobility in older adults. Physical exercise and cognitive training have shown great benefits for cognitive functioning, gait and posture in the older adults population. More recently researchers have investigated the potential synergetic effect of more than one approach for preventing cognitive decline. This talk will present recent findings from cognitive training and exercise intervention on cognitive and gait outcomes. Results from a combined intervention trial will also be presented and discussed in the context of expected synergetic effect of exercise and cognitive intervention to improve gait in older adults.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.848
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.032
GPT teacher head0.382
Teacher spread0.350 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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