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Record W2411019964

Towards identifying a characteristic neuropsychological profile for fetal alcohol spectrum disorders. 2. Specific caregiver-and teacher-rating.

2013· article· en· W2411019964 on OpenAlexaffabout
Sara Stevens, Kelly Nash, Ellen Fantus, Irena Nulman, Joanne Rovet, Gideon Koren

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCBCLFetal alcoholClinical psychologyRating scaleNeuropsychologyFetal Alcohol Spectrum DisorderMedical diagnosisPrenatal alcohol exposurePsychologyPsychiatryMedicinePediatricsDevelopmental psychologyCognitionAlcoholPregnancy
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: This study compares the behavioral profile of children with fetal alcohol spectrum disorder (FASD) who were diagnosed using the Canadian Guidelines with children with prenatal alcohol exposure who did not meet criteria for a FASD diagnosis. METHODS AND PROCEDURES: To accomplish this, we used caregiver and teacher questionnaires evaluating different aspects of behavior. Investigated were 170 children, 109 who received a diagnosis of FASD (Diagnosed Group) and 61 who did not (Non-Diagnosed Group). On the caregiver report, children in the Diagnosed Group had more internalizing and externalizing problems on the CBCL, more executive function difficulties on the BRIEF and more attention problems on the Conner's Rating Scale, compared to the Non-Diagnosed Group. On teacher report, children in the Diagnosed Group had more internalizing and externalizing problems on the TRF and more attention problems on the Conner's Rating Scale, compared to the Non-Diagnosed Group. For both informants, more children in the Diagnosed group had scores in the clinically elevated range. CONCLUSION: Overall, the present results identify key caregiver- and teacher-rated profiles of children with FASD diagnoses. These profiles will aid in better understanding, diagnosing and providing focused treatment approaches for children with FASD.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.949
Threshold uncertainty score0.862

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 head0.032
GPT teacher head0.261
Teacher spread0.229 · 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
Published2013
Admission routes2
Has abstractyes

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