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Fetal Alcohol Syndrome

2010· other· en· W1566240445 on OpenAlexaff
Timothy E. Moore, Karina Royer Gagnier

Bibliographic record

VenueThe Corsini Encyclopedia of Psychology · 2010
Typeother
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsYork University
Fundersnot available
KeywordsFetal alcohol syndromeFetal Alcohol Spectrum DisorderAlcoholNeurodevelopmental disorderFetusPrenatal alcohol exposureFetal alcoholPrenatal exposureMedicinePsychologyPsychiatryPregnancyGeneticsBiologyGestationBiochemistry

Abstract

fetched live from OpenAlex

Abstract Fetal alcohol syndrome (FAS) is recognized by the World Health Organization as the leading cause of environment‐related birth defects and mental retardation in the western world. It results from prenatal alcohol exposure, the consequences of which fall along a continuum ranging from subtle neurodevelopmental and behavioral manifestations to FAS, the most serious outcome. Recently, the term fetal alcohol spectrum disorder (FASD) was coined to encompass all the terms that describe alcohol‐related defects, including FAS (Sokol, Delaney, & Nordstrom, 2003). Other terms, such as fetal alcohol effects (FAE), partial FAS (pFAS), alcohol‐related neurodevelopmental disorder (ARND), and alcohol‐related birth defects (ARBD) describe other effects within the spectrum.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0400.009

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 head0.014
GPT teacher head0.307
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2010
Admission routes1
Has abstractyes

Explore more

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