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Record W7164330147 · doi:10.31579/2642-973x/066

Neuropsychological Testing of Temporal lobe Function in Persons with schizophrenia

2023· article· W7164330147 on OpenAlexaff
Laura Kaiser *, Mackenzie Wagner, Madison Hedges, Haley Brown, Breanna Huggan, Andrea L.O. Hebb

Bibliographic record

VenueBrain and Neurological Disorders · 2023
Typearticle
Language
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsSaint Mary's UniversityMount Saint Vincent University
Fundersnot available
KeywordsDichotic listeningSchizophrenia (object-oriented programming)Temporal lobeWechsler Adult Intelligence ScaleNeuropsychologyWechsler Memory ScaleAgnosiaCognitionNeuropsychological test

Abstract

fetched live from OpenAlex

Individuals with schizophrenia present with many challenges due to alterations in brain function. Temporal lobe functions, as indicated by results in neuropsychological testing, reveals a multifaceted disorder with evidence of impairment in emotional recognition, memory and agnosia in the backdrop of auditory hallucinations. The impact of functional impairment in higher order cognitive processing ultimately influences prognosis and societal integration. The following discussion will briefly examine the suitability of the Penn Emotion Recognition Test (PERT), the Dichotic Listening Test, the Wechsler Memory Scale Test, and the Graded Naming Test as appropriate tests for assessment of specific deficits individuals with schizophrenia may experience.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
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 head0.037
GPT teacher head0.290
Teacher spread0.253 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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