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Record W2097091690 · doi:10.1080/13854040701260370

The Repeatable Battery for The Assessment of Neuropsychological Status (RBANS): Clinical Utility in a Traumatic Brain Injury Sample

2008· article· en· W2097091690 on OpenAlexaff
Cherisse McKay, Jeffrey Wertheimer, Norman L. Fichtenberg, Joseph E. Casey

Bibliographic record

VenueThe Clinical Neuropsychologist · 2008
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsRepeatable Battery for the Assessment of Neuropsychological StatusTraumatic brain injuryNeuropsychologyPopulationHead injuryMedicineNeuropsychological assessmentDementiaPsychologyClinical psychologyPsychiatryCognitionInternal medicine

Abstract

fetched live from OpenAlex

The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS; Randolph, 1998 Randolph , C. ( 1998 ). Repeatable battery for the assessment of neuropsychological status (RBANS) . San Antonio , TX : Psychological Corporation . [Google Scholar]), a neuropsychological screening measure initially designed to assess the cognitive deficits associated with dementia, has since been clinically implemented with other neurological populations including traumatic brain injury (TBI). This study evaluated the clinical utility of the RBANS in a TBI population by comparing the profiles of 51 TBI cases and 34 non-head-injured controls. Across RBANS' Index Scores, the TBI group performed at a significantly lower level than the controls; sensitivity to TBI and likelihood ratios ranged from modest to strong; and specificity was high. Particularly efficacious was the clinical efficiency exhibited by the Total Scale Index (summary score) of the RBANS.

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)0.002
metaresearch head score (Gemma)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.433
GPT teacher head0.550
Teacher spread0.117 · 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

Citations61
Published2008
Admission routes1
Has abstractyes

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