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Record W4224282675 · doi:10.15690/pf.v19i2.2397

Features of Gastrointestinal Malformations in Children with Autism Spectrum Disorders: Literature Review

2022· article· en· W4224282675 on OpenAlexaff
Zoya Yaditovna Suleymanova, Natalia V. Ustinova, Tatiana V. Turti

Bibliographic record

VenueПедиатрическая фармакология · 2022
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsAutismMedicineDiarrheaConstipationPediatricsIrritable bowel syndromeAbdominal painAutistic spectrumCongenital malformationsGastrointestinal systemPsychiatryInternal medicinePregnancy

Abstract

fetched live from OpenAlex

Autism spectrum disorders (ASDs) are common neurodevelopmental disorders characterized by heterogeneity and high variability in severity of mental, neurological, and somatic symptoms. Such gastrointestinal malformations as abdominal pain, constipation, diarrhea, gastroesophageal reflux, nutritional disorders, intestinal microbiota disorders are common in autistic children. The association between the severity of gastrointestinal malformations and the severity of behavioral symptoms in ASDs was revealed. Early diagnosis and assessment of gastrointestinal malformations in ASDs is crucial for their further correction to optimize nutrition, to develop individual complex treatment and management with the involvement of multidisciplinary specialists.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.241
Teacher spread0.236 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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