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Record W3023718084 · doi:10.1080/21622965.2020.1750118

A review of performance and symptom validity testing with pediatric populations

2020· review· en· W3023718084 on OpenAlexaff
John W. Kirk, David A. Baker, William S. MacAllister

Bibliographic record

VenueApplied Neuropsychology Child · 2020
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsAlberta HealthAlberta Children's Hospital
Fundersnot available
KeywordsNeurocognitiveExaggerationNeuropsychologyPsychologyClinical psychologyNeuropsychological testingMedicineDevelopmental psychologyPsychiatryCognition

Abstract

fetched live from OpenAlex

Growing recognition and concerns of non-credible performance in pediatric populations have led clinicians to investigate the utility of performance and symptom validity tests (PVT/SVTs) among children and adolescents. Yet current research has indicated that a minority of clinicians routinely utilize a free-standing PVT in pediatric neuropsychological evaluations. The current article investigates the rationale for using PVT/SVTs, and the impact that failure of such exams have on other neurocognitive tests. A review of common adult PVTs and their appropriateness for use with specific pediatric clinical populations is presented, as well as empirical evidence for evaluating embedded validity indicators. The limited literature on SVTs with youth is also reviewed and provides additional insight into symptom exaggeration. There are various reasons children would provide noncredible performance, many of which are different from adults. A review of how the clinician should handle this behavior in pediatric evaluations is provided and what patient populations may present with a higher base rate of failure. Finally, various approaches are offered on how to explain these results to children and their caregivers.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.246
GPT teacher head0.405
Teacher spread0.159 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations21
Published2020
Admission routes1
Has abstractyes

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