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Record W2037123607 · doi:10.1177/0734282907304032

An Investigation of the General Abilities Index in a Group of Diagnostically Mixed Patients

2007· article· en· W2037123607 on OpenAlexaff
Allyson G. Harrison, Michelle M. DeLisle, Kevin C. H. Parker

Bibliographic record

VenueJournal of Psychoeducational Assessment · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsHotel Dieu HospitalQueen's University
Fundersnot available
KeywordsPsychologyWechsler Adult Intelligence ScaleNeurocognitiveClinical psychologyAnxietyIntelligence quotientLearning disabilityPsychiatryDevelopmental psychologyCognition

Abstract

fetched live from OpenAlex

The General Ability Index (GAI) was compared with Wechsler Adult Intelligence Scale—Third Edition (WAIS-III) Full Scale Intelligence Quotient (FSIQ) from the WAIS-III in data obtained from 381 adults assessed for reported learning or attention problems between 1998 and 2005. Not only did clients with more neurocognitively based disorders (i.e., learning disabilities, attention deficit hyperactivity disorder, and brain injury) demonstrate a larger discrepancy between GAI and FSIQ than did those with mainly psychological conditions (i.e., depression, anxiety, posttraumatic stress disorder), but specific neurocognitive diagnosis also moderated the relationship between these two indices. In neurocognitive disorders, GAI was found to be generally higher than FSIQ, a finding that distinguished this group from a nonclinical sample. There were significant differences in GAI among the clinical groups, and FSIQ was closely related to GAI. Implications for use of the GAI in clinical practice are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.301
Teacher spread0.293 · 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.

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

Citations15
Published2007
Admission routes1
Has abstractyes

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