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Record W1929409609 · doi:10.1007/0-387-25610-5_19

Neuropsychological Assessment of Moderate to Severe Traumatic Brain Injury

2006· book-chapter· en· W1929409609 on OpenAlexaff
Brigitte N. Patry, Catherine A. Mateer

Bibliographic record

VenueKluwer Academic Publishers eBooks · 2006
Typebook-chapter
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsNeuropsychologyNeuropsychological assessmentPsychologyPsychosocialTraumatic brain injuryExecutive functionsClinical psychologyNeuropsychological testDevelopmental psychologyCognitionPsychiatry

Abstract

fetched live from OpenAlex

Group studies have revealed persisting neuropsychological impairments, particularly within the domains of attention, memory, and executive functions, in many, although not all, individuals who have sustained a moderate to severe TBI. Such deficits can have a profound impact on psychosocial and vocational functioning. Nevertheless, the presence, type, and pattern of deficits vary across individuals and no single neuropsychological tool has been shown to capture the full range and extent of deficits, highlighting the importance of a comprehensive neuropsychological assessment. A thorough evaluation of the data gathered from the assessment with consideration of psychometric issues and confounding variables is crucial to properly interpret any neuropsychological deficits as attributable to a TBI.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.091
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.099
GPT teacher head0.383
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations6
Published2006
Admission routes1
Has abstractyes

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