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Record W4386205932 · doi:10.15690/vsp.v22i4.2611

Psychoneurological Disorders in Children with Congenital Aniridia and <i>PAX6</i>-Associated Syndromes

2023· article· en· W4386205932 on OpenAlexaff
Olga S. Kupriyanova, George A. Karkashadze, Natalia V. Zhurkova, Leyla S. Namazova-Baranova, A. M. Mamedyarov

Bibliographic record

VenueВопросы современной педиатрии · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDevelopmental Biology and Gene Regulation
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsAniridiaPAX6Context (archaeology)MedicineDiseasePathologyBioinformaticsPediatricsBiologyGeneticsGene

Abstract

fetched live from OpenAlex

Congenital aniridia manifests with total or partial absence of the iris. The association of the disease with the PAX6 gene has been proven. Changes in the PAX6 structure lead to intrauterine pathology, visual organ malformation, malformation of master regulator proteins of organogenesis affecting various cells’ differentiation (central nervous system cells included). Such disorders result into the development of PAX6-associated syndromes with various brain malformations, neurological disorders, and systemic pathology (thyroid pathology, Wilms tumor, glucose intolerance). Isolated congenital aniridia is also accompanied by psychoneurological disorders. It can be associated with brain structures’ disorders during embryogenesis and with impact of external stress factors on the child (frequent medical checkup, surgical treatments). The psychoneurological disorders’ pathogenesis as well as congenital aniridia’s genetic mechanisms remain unclear. Thus, it is crucial to review new relevant data within the context of previously obtained information to gather full picture of the clinical signs of the disease and to improve the management of children with congenital aniridia.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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