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Record W2064792024 · doi:10.1159/000350026

A Pilot Study of Training and Compensation Interventions for Mild Cognitive Impairment

2013· article· en· W2064792024 on OpenAlexaff
Susanna Konsztowicz, Jerine Anton, Joelle Crane, Parastoo Moafmashhadi, Lisa Koski

Bibliographic record

VenueDementia and Geriatric Cognitive Disorders Extra · 2013
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMemory impairmentPsychological interventionCompensation (psychology)Cognitive impairmentCognitive trainingPsychologyCognitionRandomized controlled trialClinical psychologyClinical trialPhysical medicine and rehabilitationMemory testPhysical therapyMedicinePsychiatryInternal medicineSocial psychology

Abstract

fetched live from OpenAlex

<b><i>Background:</i></b> This pilot clinical trial sought to estimate the feasibility and efficacy of two interventions aimed at improving memory performance in geriatric clinic patients with mild cognitive impairment. <b><i>Methods:</i></b> Fifteen participants were randomized to either a memory training group or a memory compensation group. <b><i>Results:</i></b> Recruitment rates were low, whereas adherence and retention rates were acceptable. The memory training group improved in self-reported memory abilities and satisfaction with memory. The memory compensation group improved on one objective memory test but showed no consistent changes on any other outcomes. <b><i>Conclusion:</i></b> Effect size estimates will inform the design of larger clinical trials.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.945

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 head0.051
GPT teacher head0.340
Teacher spread0.289 · 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

Citations9
Published2013
Admission routes1
Has abstractyes

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