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Record W2338565795

Towards identifying a characteristic neuropsychological profile for fetal alcohol spectrum disorders. 1. Analysis of the Motherisk FASD clinic.

2013· article· en· W2338565795 on OpenAlexaff
Kelly Nash, Sara Stevens, Joanne Rovet, Ellen Fantus, Irena Nulman, Donna Sorbara, Gideon Koren

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsNeuropsychologyFetal alcoholPsychologyPrenatal alcohol exposureExecutive functionsClinical psychologyNeuropsychological assessmentBorderline intellectual functioningFetal alcohol syndromeCognitionPsychiatryDevelopmental psychologyAlcohol
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: Children with FASD display a heterogeneous profile and may have deficits in physical, behavioural, emotional, and social functioning, as the result of prenatal alcohol exposure. The major objective of the current study was to identify if a specific pattern of neuropsychological functioning exists among children prenatally exposed to alcohol who received a diagnosis, versus exposed children who did not. We compared groups on domains of intellectual functioning, memory, attention, executive functioning, motor functioning, language/communication and achievement. METHODS: One hundred and seventy children who were seen in the clinic between 2005 and 2009 were included in this study. Out of the total 170 children seen, 109 received an FASD diagnosis. RESULTS: We identified a specific neuropsychological profile that typifies children diagnosed with an FASD versus those exposed prenatally to alcohol, who did not receive a diagnosis. Diagnosed children displayed a neuropsychological profile characterized by weaknesses in the areas of verbal reasoning, memory, overall language functioning, math reasoning and calculation. Groups did not differ on measures of attention or executive functioning. CONCLUSION: The information gained from these analyses, are essential for informing best practices for diagnosis and treatment.

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)0.001
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 score0.382
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.035
GPT teacher head0.289
Teacher spread0.254 · 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

Citations22
Published2013
Admission routes1
Has abstractyes

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