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Record W2263276115 · doi:10.23937/2378-3648/1410017

Common Genetic Variation in Circadian Rhythm Genes and Risk of Epithelial Ovarian Cancer (EOC)

2015· article· en· W2263276115 on OpenAlexfundno aff
Heather S L Jim

Bibliographic record

VenueJournal of Genetics and Genome Research · 2015
Typearticle
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsnot available
FundersNational Institute of Environmental Health SciencesNational Cancer InstituteCancer Council TasmaniaCancer Council QueenslandCancer Council NSWCancer Council VictoriaCancer Council South AustraliaNational Center for Advancing Translational SciencesMedical Research CouncilHelse VestOvarian Cancer Research FundCancer AustraliaCanadian Institutes of Health ResearchImperial College LondonNational Health and Medical Research CouncilNorges ForskningsrådUniversity of CambridgeMinnesota Ovarian Cancer AllianceCancer Research UKBundesministerium für Bildung und ForschungLon V. Smith FoundationNational Institute for Health and Care ResearchFred C. and Katherine B. Andersen FoundationHelsingin ja Uudenmaan SairaanhoitopiiriMayo Foundation for Medical Education and ResearchEuropean CommissionOregon Health and Science UniversityUniversität UlmKræftens BekæmpelseNational Institutes of HealthRutgers Cancer Institute of New Jersey
KeywordsCircadian rhythmOvarian cancerGeneBiologyRhythmEpithelial ovarian cancerVariation (astronomy)Genetic variationOncologyCancerGeneticsInternal medicineCancer researchMedicineEndocrinology

Abstract

fetched live from OpenAlex

Disruption in circadian gene expression, whether due to genetic variation or environmental factors (e.g., light at night, shiftwork), is associated with increased incidence of breast, prostate, gastrointestinal and hematologic cancers and gliomas. Circadian genes are highly expressed in the ovaries where they regulate ovulation; circadian disruption is associated with several ovarian cancer risk factors (e.g., endometriosis).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.344
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), 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

Citations31
Published2015
Admission routes1
Has abstractyes

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