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Record W4385331522 · doi:10.1080/07380577.2023.2241087

Examining the Sensory Processing Skills and Occupational Performance of People with Multiple Sclerosis

2023· article· en· W4385331522 on OpenAlexaboutno aff
Selen Aydoner Bektaş, Gonca Bumın

Bibliographic record

VenueOccupational Therapy In Health Care · 2023
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSensory processingMultiple sclerosisOccupational therapySensory systemActivities of daily livingMedicinePsychologyPhysical medicine and rehabilitationPhysical therapyAudiologyPsychiatryNeuroscience

Abstract

fetched live from OpenAlex

This study aimed to compare sensory processing skills and occupational performance between participants with multiple sclerosis and healthy controls. Eighty participants were enrolled in this study, 40 with multiple sclerosis and 40 with healthy controls. Participants were between 18 and 65 years of age and asked to complete the Adult Sensory Profile, and Canadian Occupational Performance Measure. The findings of the study revealed that participants with multiple sclerosis had a lower ability to register sensory input, a higher sensory sensitivity, and avoidance, as well as lower levels of performance and satisfaction in their daily occupations, compared to the healthy controls (p < 0.05). People with multiple sclerosis often experience difficulties with sensory processing and occupational performance in daily life. More research and practice are needed on the role of sensory processing and occupational performance in daily life in people with multiple sclerosis.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.131
GPT teacher head0.375
Teacher spread0.244 · 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
Published2023
Admission routes1
Has abstractyes

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