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Record W2608289997 · doi:10.17816/ped8167-73

Mechanism of neurodevelopment of children with hearing deprivation

2017· article· en· W2608289997 on OpenAlexaboutno aff
Diana S. Yuryeva, Alexander B. Palchik, Z. M. Yuldashev, Gleb Mashevskiy, Anna V Ulyanova, Yulia V Sablina

Bibliographic record

VenuePediatrician (St Petersburg) · 2017
Typearticle
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsAudiologyPsychomotor learningHearing lossPsychologyHearing aidSensorineural hearing lossRehabilitationDevelopmental psychologyCognitionMedicinePsychiatry

Abstract

fetched live from OpenAlex

100 children with sensorineural hearing loss, who had confirmed hearing impairment, were examined by routine somatoneurological and surdological survey, as well as standard psychomotor development scales (Alberta Infant Motor Scale (AIMS), Denver Developmental Screening Test (DDST), Griffiths Mental Development Scales (GMDS, GMDS-ER) in the city rehabilitation center for children with hearing and speech pathology. Criterion for inclusion in the study were the following: post-conceptual age of the child had to be not more than 36 months at the time of observation; bilateral or unilateral chronic sensorineural hearing loss or deafness and/or the presence of auditory neuropathy, confirmed by objective methods with modern audiological examinations for the core group; the absence of hearing loss, set by the modern objective methods of audiological examination for the comparison group; assessment of psychomotor and speech development of a child with at least two scales from the selection below. The survey results were analyzed using nonparametric statistical methods. Next Bayesian networks were used as efficient, compact, and intuitive way to represent knowledge related to uncertainty. Patterns of mental development, motor skills, speech and social functions in children with hearing impairment were obtained. The technique, which, depending on the factors affecting the trait under study, can help to predict with certainty the likelihood of various normal and deviant development of the child.

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 score0.004
Threshold uncertainty score0.401

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 head0.022
GPT teacher head0.274
Teacher spread0.251 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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