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Record W4401819391 · doi:10.1051/bioconf/202412402010

Study on the Correlation Between the Genetics of Circadian Rhythms and Neurodegenerative Diseases

2024· article· en· W4401819391 on OpenAlex
Yueci Yin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBIO Web of Conferences · 2024
Typearticle
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsCircadian rhythmRhythmCorrelationBiologyNeuroscienceGeneticsEvolutionary biologyMedicineInternal medicineMathematics

Abstract

fetched live from OpenAlex

In the context of global population aging, the increasing incidence of neurodegenerative diseases presents a serious challenge to healthcare systems worldwide. This article meticulously reviews the genetic links between circadian rhythms and neurodegenerative diseases, revealing their complex interactions and potential implications for disease management and prevention. The foundational mechanisms of circadian rhythms, the roles of related genes, and the genetic basis of neurodegenerative diseases are explored. The relationship between circadian rhythm gene variations and neurodegenerative diseases is thoroughly discussed, and the risks posed by disruptions in the Circadian Rhythms are elucidated. Understanding the influence of circadian rhythms on neurodegenerative diseases may provide new directions for the development of therapeutic strategies, marking a step towards alleviating the burden of these diseases.

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.

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 score0.282
Threshold uncertainty score0.210

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 head0.062
GPT teacher head0.287
Teacher spread0.225 · 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