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Record W2150170782 · doi:10.1038/ng.465

SOX2 is an amplified lineage-survival oncogene in lung and esophageal squamous cell carcinomas

2009· article· en· W2150170782 on OpenAlexaff
Adam J. Bass, Hideo Watanabe, Craig H. Mermel, Soyoung Yu, Sven Perner, Roel G.W. Verhaak, So Young Kim, Leslie Wardwell, Pablo Tamayo, Irit Gat‐Viks, Alex H. Ramos, Michele Sue‐Ann Woo, Barbara A. Weir, Gad Getz, Rameen Beroukhim, Michael O'Kelly, Amit Dutt, Orit Rozenblatt–Rosen, Piotr Dziunycz, Justin Komisarof, Lucian R. Chirieac, Christopher J. Lafargue, Veit Scheble, Theresia Wilbertz, Changqing Ma, Shilpa Rao, Hiroshi Nakagawa, Douglas B. Stairs, Lin Lin, Thomas J. Giordano, Patrick Wagner, John D. Minna, Adi F. Gazdar, Chang‐Qi Zhu, Marcia S. Brose, Ivan Cecconello, Ulysses Ribeiro, Suely Kazue Nagahashi Marie, Olav Dahl, Ramesh A. Shivdasani, Ming‐Sound Tsao, Mark A. Rubin, Kwok‐Kin Wong, Aviv Regev, William C. Hahn, David G. Beer, Anil K. Rustgi, Matthew Meyerson

Bibliographic record

VenueNature Genetics · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
FundersNational Institute of General Medical SciencesNational Cancer InstituteNational Institutes of Health
KeywordsBiologyCancer researchSOX2Ectopic expressionEsophagusOncogeneCellular differentiationTranscription factorCellCell cultureGeneGeneticsCell cycle

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 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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.274
Teacher spread0.264 · 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 designBench or experimental
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

Citations952
Published2009
Admission routes1
Has abstractno

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