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Record W4401092529 · doi:10.14300/mnnc.2024.19033

Dental status of adolescents with hypothalamic syndrome of puberty

2024· article· en· W4401092529 on OpenAlexaff
Kamila Aleksandrovna Kolesnik, Anastasia Mikhailovna Belousova, Lidiya Anatolievna Yelcheva

Bibliographic record

VenueMedical news of the North Caucasus · 2024
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsMedicineEndocrine systemObesityPathologicalMetabolic syndromeIncidence (geometry)Diabetes mellitusDiseaseAdolescent ObesityPediatricsInternal medicinePhysiologyEndocrinologyHormoneOverweight

Abstract

fetched live from OpenAlex

D omestic and foreign literature sources indicate a high level of dental diseases in children and adolescents with endocrinopathies [1-6].Among endocrine diseases of adolescence, a significant proportion (82.4 patients per 1000 people) is occupied by the hypothalamic syndrome of puberty (HSP), while there is a tendency for the incidence to almost double over the last twenty years [7].HSP is a pathological symptom complex of adolescence, which is characterized by dysfunction of the endocrine glands and metabolic, trophic, immune, and autonomic disorders.This disease increases the risk of further development of obesity, metabolic syndrome, type 2 diabetes mellitus, hypertension, and atherosclerosis [8,9].Systemic abnormalities associated with this endocrinopathy may adversely affect children's dental health.However, researchers have not paid sufficient attention to the dental problems of children and adolescents with HSP.This work aims to study the dental status of adolescents with HSP.Material and Methods.A clinical examination of the dental area of 98 adolescents with HSP was performed; an endocrinologist established this diagnosis.The

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 score0.011
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.012
GPT teacher head0.253
Teacher spread0.241 · 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
Published2024
Admission routes1
Has abstractyes

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