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Record W4406090991 · doi:10.58931/cdet.2024.2334

Monogenic and Syndromic Obesity: Therapeutic Implications

2024· article· en· W4406090991 on OpenAlexaff
Stasia Hadjiyannakis

Bibliographic record

VenueCanadian Diabetes & Endocrinology Today · 2024
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsObesityMedicineIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Obesity is a complex, progressive and relapsing neuroendocrine condition, characterized by disordered communication between the gastrointestinal tract, adipocytes and the hypothalamus. It is a heterogeneous condition with unique etiologies, broadly classified as: polygenic obesity, monogenic obesity, syndromic obesity and secondary obesity.2 The most common form of obesity is polygenic, a highly hereditable condition that involves the clustering of genes that increase the risk for obesity. This inherited genetic risk is exploited by socio-biologic exposures. Monogenic and syndromic obesity result from rare genetic mutations and are characterized by early onset severe obesity and hyperphagia. Secondary obesity may occur as a result of medication exposures, hypothalamic damage or primary endocrine disorders. Accurate classification of obesity is critical to inform surveillance and management strategies, decrease health risk and improve quality of life through newly available targeted therapies.

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 score0.285
Threshold uncertainty score0.623

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 head0.016
GPT teacher head0.257
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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