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Record W2485839090 · doi:10.1097/tgr.0000000000000111

Sexual Function After Stroke

2016· article· en· W2485839090 on OpenAlexaboutno aff
Heather Thomas

Bibliographic record

VenueTopics in Geriatric Rehabilitation · 2016
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePsychological interventionSexual functionScale (ratio)Quality of life (healthcare)Stroke (engine)Reproductive healthSexual lifeSexual dysfunctionGerontologyNursingPsychiatryGynecologyEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

This article describes the case of a 69-year-old, married, Hispanic heterosexual woman who suffered a right cerebral vascular accident. Assessment measures utilized to identify barriers to sexual activity were the Canadian Occupational Performance Measure, Quality of Sexual Function Scale, and the Stroke Impact Scale. Goals were established in collaboration with the client, and interventions addressed a wide range of barriers. This case demonstrates how occupational therapy and the interprofessional team addressed limitations in engagement in sexual activities. Data collected postintervention showed significant changes in sexual activity, satisfaction, and perceived quality of life. This case demonstrates the importance of addressing sexual activity with clients poststroke and how the health care team can implement strategies to help clients address barriers to this essential human activity.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.008
GPT teacher head0.257
Teacher spread0.249 · 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 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

Citations8
Published2016
Admission routes1
Has abstractyes

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