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Record W2119046532 · doi:10.1076/clin.17.3.390.18090

Victoria Symptom Validity Test Scores of Patients with Profound Memory Impairment: NonLitigant Case Studies

2003· article· en· W2119046532 on OpenAlexaff
Daniel J. Slick, Jing Ee Tan, Esther Strauss, Catherine A. Mateer, Michael C. S. Harnadek, Elisabeth M. S. Sherman

Bibliographic record

VenueThe Clinical Neuropsychologist · 2003
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsAmnesiaMemory impairmentAnterograde amnesiaMemory testTest (biology)PsychologyAudiologyClinical psychologyPhysical medicine and rehabilitationPsychiatryCognitive psychologyMedicineCognition

Abstract

fetched live from OpenAlex

Victoria Symptom Validity Test (VSVT) scores from six nonlitigants with neurological illness accompanied by dense anterograde amnesia or severe memory impairment are presented. All of these patients obtained perfect or near perfect scores on the VSVT. These data add to the literature suggesting that the VSVT is insensitive to genuine neurologically-based memory impairment and provide an additional floor-level clinical benchmark against which to compare the performance of litigants.

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)0.001
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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.214
GPT teacher head0.460
Teacher spread0.247 · 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 designCase report
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

Citations34
Published2003
Admission routes1
Has abstractyes

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