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Record W2125777364 · doi:10.1158/1055-9965.epi-09-1317

Genetic Variation in <i>TYMS</i> in the One-Carbon Transfer Pathway Is Associated with Ovarian Carcinoma Types in the Ovarian Cancer Association Consortium

2010· article· en· W2125777364 on OpenAlexafffund
Linda E. Kelemen, Marc T. Goodman, Valerie McGuire, Mary Anne Rossing, Penelope M. Webb, Martin Köbel, Hoda Anton‐Culver, Jonathan Beesley, Andrew Berchuck, Sony Brar, Michael E. Carney, Jenny Chang‐Claude, Georgia Chenevix‐Trench, Daniel W. Cramer, Julie M. Cunningham, Richard A. DiCioccio, Jennifer A. Doherty, Douglas F. Easton, Zachary S. Fredericksen, Brooke L. Fridley, Margaret A. Gates, Simon A. Gayther, Aleksandra Gentry‐Maharaj, Estrid Høgdall, Susanne K. Kjær, Galina Lurie, Usha Menon, Patricia G. Moorman, Kirsten B. Moysich, Roberta B. Ness, Rachel T. Palmieri, Celeste Leigh Pearce, Paul D.P. Pharoah, Susan J. Ramus, Honglin Song, Daniel O. Stram, Shelley S. Tworoger, David Van Den Berg, Robert A. Vierkant, Shan Wang‐Gohrke, Alice S. Whittemore, Lynne R. Wilkens, Anna H. Wu, Joellen M. Schildkraut, Thomas A. Sellers, Ellen L. Goode

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlutathione Transferases and Polymorphisms
Canadian institutionsUniversity of CalgaryAlberta Health Services
FundersNational Cancer InstituteCanadian Institutes of Health ResearchCancer Research UK
KeywordsDPYDOvarian carcinomaOdds ratioSerous fluidOvarian cancerOncologyInternal medicineClear cellMucinous carcinomaCarcinomaMedicineConfidence intervalBiologyCancerPharmacogeneticsGenotypeGeneAdenocarcinomaGenetics

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.004
metaresearch head score (Gemma)0.010
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 score0.008
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.021
GPT teacher head0.272
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 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

Citations25
Published2010
Admission routes2
Has abstractyes

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