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Record W2747883151 · doi:10.22374/1710-6222.24.3.1

Intelligence and Fetal Alcohol Spectrum Disorders: A Review

2017· review· en· W2747883151 on OpenAlexvenueno aff
Vanessa Karam de Lima Ferreira, Marcelo Santos Cruz

Bibliographic record

VenueJournal of Population Therapeutics and Clinical Pharmacology · 2017
Typereview
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
Fundersnot available
KeywordsWechsler Adult Intelligence ScalePsychologyFetal alcoholFetal alcohol syndromePopulationDevelopmental psychologyWorking memoryIntelligence quotientInclusion (mineral)Clinical psychologyPsychiatryAlcoholCognitionMedicineSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Background: The studies on intelligence in individuals with fetal alcohol exposure are conflicting. Some have found a relevant impairment in this population, while others found results that were consistent with the population at large. OBJECTIVES: Describe the results of studies on intelligence in individuals with Fetal Alcohol Spectrum Disorders. METHODS: Indexed articles of the last 10 years were selected for an integrative literature review. After inclusion and exclusion criteria were satisfied 37 articles were selected. RESULTS: General intelligence, both verbal and non-verbal, is impaired in people who are prenatally exposed to alcohol. There is a tendency to a greater reduction in the Freedom from Distractibility/Working Memory Index of Wechsler Scales. CONCLUSIONS: Reduction in intelligence seems to occur on a continuum similar to the fetal alcohol spectrum. The reduction of the Freedom from Distractibility/Working Memory Index appears to be a reflection of a greater impairment of mathematical ability.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score0.799

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
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 head0.236
GPT teacher head0.532
Teacher spread0.297 · 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 designOther design
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

Citations12
Published2017
Admission routes1
Has abstractyes

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