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Record W2154422767 · doi:10.1126/science.1251343

Extensive transduction of nonrepetitive DNA mediated by L1 retrotransposition in cancer genomes

2014· article· en· W2154422767 on OpenAlexaff
José M. C. Tubío, Yilong Li, Young Seok Ju, Sancha Martin, Susanna L. Cooke, Marta Tojo, Gunes Gundem, Christodoulos Pipinikas, Jorge Zamora, Keiran Raine, Andrew Menzies, Pablo Román‐García, Anthony Fullam, Moritz Gerstung, Adam Shlien, Patrick Tarpey, Elli Papaemmanuil, Stian Knappskog, Peter Van Loo, Manasa Ramakrishna, Helen Davies, John Marshall, David C. Wedge, Jon W. Teague, Adam P. Butler, Serena Nik‐Zainal, Ludmil B. Alexandrov, Sam Behjati, Lucy Yates, Niccolò Bolli, Laura Mudie, Claire Hardy, Stuart McLaren, Sarah O’Meara, Elizabeth Anderson, Mark Maddison, Stephen J. Gamble, Christopher S. Foster, Anne Y. Warren, Hayley C. Whitaker, Rosalind A. Eeles, Colin Cooper, David E. Neal, Andy G. Lynch, Tapio Visakorpi, William B. Isaacs, Laura van’t Veer, Carlos Caldas, Christine Desmedt, Christos Sotiriou, Samuel Aparício, John A. Foekens, Jórunn E. Eyfjörd, Sunil R. Lakhani, Ola Myklebost, Paul N. Span, Anne‐Lise Børresen‐Dale, Andrea L. Richardson, Marc J. van de Vijver, Anne Vincent‐Salomon, Gert G. Van den Eynden, Adrienne M. Flanagan, P. Andrew Futreal, Sam M. Janes, G. Steven Bova, Michael R. Stratton, Ultan McDermott, Peter J. Campbell

Bibliographic record

VenueScience · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsBC Cancer Agency
FundersBiotechnology and Biological Sciences Research CouncilRosetrees TrustWellcome TrustAcademy of Medical SciencesNational Institute for Health and Care ResearchNational Cancer InstituteCancer Research UK
KeywordsRetrotransposonBiologySomatic cellGenomeMobile genetic elementsGermlineCarcinogenesisGeneticsGeneComputational biologyHuman genomeTransduction (biophysics)Transposable element

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.226
Teacher spread0.215 · 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

Citations443
Published2014
Admission routes1
Has abstractyes

Explore more

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