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Record W2939998269 · doi:10.15344/2455-2364/2018/146

Neurodevelopmental Disorders and Autism in Valproic Acid Animal Models

2018· article· en· W2939998269 on OpenAlexaff
Sidra Shafique

Bibliographic record

VenueInternational Journal of Pediatrics & Neonatal Care · 2018
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsValproic AcidNeural tubeAutism spectrum disorderAutismTeratologyNeural developmentNeurodevelopmental disorderBroad spectrumNeuroscienceNeuronal migrationNeural tube defectFetusMedicineEpilepsyBioinformaticsBiologyPregnancyGeneticsEmbryoPsychiatryChemistry

Abstract

fetched live from OpenAlex

Xenobiotics and environmental toxicants cause the perturbations during embryogenesis and fetal development resulting in congenital malformations. The most vulnerable is the neural tube development due to the critical window period after the conception of the closure, cellular proliferation and differentiation. Neurodevelopmental disorders are multifactorial conditions encompassing wide categories and broad classification. Structural defects reveal as overt anatomical defects while the functional defects become apparent in the postnatal period of brain growth. Autism spectrum disorder [ASD] is an example of functional neurodevelopmental defect. The emphasis in this review is on the fact that neural tube defects are both structural and functional caused by the same teratogens such as valproic acid [VPA]. Valproic acid [VPA] has been discussed as a model teratogen for the development of neural tube defects and autism spectrum disorder [ASD].

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.292
Teacher spread0.275 · 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 designBench or experimental
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

Citations2
Published2018
Admission routes1
Has abstractyes

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