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Record W2807028128 · doi:10.1016/j.eururo.2018.05.017

Corrigendum re “Genetic Variants Related to Longer Telomere Length are Associated with Increased Risk of Renal Cell Carcinoma” [Eur Urol 2017;72:747–54]

2018· erratum· en· W2807028128 on OpenAlexaff
Mitchell J. Machiela, Jonathan N. Hofmann, Robert Carreras‐Torres, Kevin M. Brown, Mattias Johansson, Zhaoming Wang, Matthieu Foll, Peng Li, Nathaniel Rothman, Sharon A. Savage, Valérie Gaborieau, James McKay, Yuanqing Ye, Marc Henrion, Fiona Bruinsma, Susan J. Jordan, Gianluca Severi, Kristian Hveem, Lars J. Vatten, Tony Fletcher, Kvetoslava Koppová, Susanna C. Larsson, Alicja Wolk, Rosamonde E. Banks, Peter J. Selby, Douglas F. Easton, Paul D.P. Pharoah, Gabriella Andreotti, Laura E. Beane Freeman, Stella Koutros, Demetrius Albanes, Satu Männistö, Stephanie J. Weinstein, Peter E. Clark, Todd E. Edwards, Loren Lipworth, Susan M. Gapstur, Victoria L. Stevens, Hallie Carol, Matthew L. Freedman, Mark M. Pomerantz, Eunyoung Cho, Peter Kraft, Mark Preston, Kathryn M. Wilson, J. Michael Gaziano, Howard S. Sesso, Amanda Black, Neal D. Freedman, Wen‐Yi Huang, John Anema, Richard J. Kahnoski, Brian R. Lane, Sabrina L. Noyes, David Petillo, Leandro M. Colli, Joshua N. Sampson, Céline Besse, Hélène Blanché, Anne Boland, Laurie Burdette, Egor Prokhortchouk, K. G. Skryabin, Meredith Yeager, Mirjana Mijušković, Miodrag Ognjanovic, Lenka Foretová, Ivana Holcátová, Vladimí­r Janout, Dana Mateș, Anush Mukeriya, Ștefan Rașcu, Давид Заридзе, Vladimír Bencko, Cezary Cybulski, Eleonóra Fabiánová, Viorel Jinga, Jolanta Lissowska, Jan Lubiński, Marie Navratilova, Péter Rudnai, Neonila Szeszenia‐Dąbrowska, Simone Benhamou, Géraldine Cancel‐Tassin, Olivier Cussenot, H. Bas Bueno‐de‐Mesquita, Federico Canzian, Eric J. Duell, Börje Ljungberg, Raviprakash T. Sitaram, Ulrike Peters, Emily White, Garnet L. Anderson, Lisa Johnson, Juhua Luo, Julie E. Buring, I‐Min Lee, Wong‐Ho Chow, Lee E. Moore, Christopher G. Wood, Timothy Eisen, James Larkin, Toni K. Choueiri, G.M. Lathrop, Bin Tean Teh, Jean‐François Deleuze, Xifeng Wu, Richard S. Houlston, Paul Brennan, Stephen J. Chanock, Ghislaine Scélo, Mark P. Purdue

Bibliographic record

VenueEuropean Urology · 2018
Typeerratum
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsMcGill University and Génome Québec Innovation Centre
FundersNational Institutes of HealthNational Institute for Health and Care ResearchCancer Research UKWorld Health Organization
KeywordsMedicineTelomereRenal cell carcinomaNothingInternal medicineGeneticsDNABiologyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.007

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 head0.013
GPT teacher head0.208
Teacher spread0.194 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2018
Admission routes1
Has abstractno

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