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Record W4297770699 · doi:10.18103/mra.v10i8.2967

Selecting the Appropriate Memory Test for Patients with Stroke: Criterion Validity of the Buschke Selective Reminding Test

2022· article· en· W4297770699 on OpenAlex
Damian Leitner, Megan Udala, Harry Miller, Maya Libben

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Research Archives · 2022
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of British Columbia, Okanagan CampusKelowna General HospitalUniversity of British Columbia
Fundersnot available
KeywordsStroke (engine)MedicineLogistic regressionAudiologyTest (biology)RehabilitationVerbal learningPhysical medicine and rehabilitationPhysical therapyInternal medicineCognitionPsychiatry

Abstract

fetched live from OpenAlex

Accurate assessment of memory following a stroke is important for patient rehabilitation. The Buschke Selective Reminding Test (SRT) is a test of verbal learning and memory that can be used to assess many clinical populations. The current study investigated the criterion validity of the SRT by comparing scores from patients with stroke to healthy controls, and identified scores on the SRT that best differentiate between these two groups. Participants included 65 patients with stroke and 65 age-and education-matched healthy controls. The control group differed significantly from patients with stroke on all scores (p <.01). Spearman’s rho correlations revealed potential multicollinearity between multiple SRT measures. Binomial logistic regression suggested SRT scores differentiated patients with stroke from controls, and correctly classified 76% of cases. Lower continuous long-term retrieval (CLTR) scores were more likely among patients with stroke. Results supported the SRT as useful for identifying verbal learning and memory impairment in acute stroke inpatients.

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.

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)0.005
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.035
GPT teacher head0.354
Teacher spread0.319 · 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