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Record W1989214935 · doi:10.1038/cr.2013.42

FBW7 regulates endothelial functions by targeting KLF2 for ubiquitination and degradation

2013· article· en· W1989214935 on OpenAlexfundno aff
Rui Wang, Yan Wang, Ning Liu, Chunguang Ren, Cong Jiang, Kai Zhang, Su Yu, Yunfei Chen, Hui Tang, Qi Deng, Cong Fu, Yingcong Wang, Rong Li, Mingyao Liu, Weijun Pan, Ping Wang

Bibliographic record

VenueCell Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicKruppel-like factors research
Canadian institutionsnot available
FundersSchool of Medicine, New York UniversityInstitute of Zoology, Chinese Academy of SciencesDirectorate for Biological SciencesShanghai Rising-Star ProgramRecruitment Program of Global ExpertsScience and Technology Commission of Shanghai MunicipalityFudan UniversityChinese Academy of SciencesNational Natural Science Foundation of ChinaProgram for New Century Excellent Talents in UniversityShanghai Institutes for Biological Sciences, Chinese Academy of SciencesYale UniversityNational Key Research and Development Program of ChinaCase Western Reserve UniversityYork UniversityUniversity of TokyoJohns Hopkins University
KeywordsKLF2BiologyCell biologyAngiogenesisUbiquitin ligaseSkp1Gene knockdownUbiquitinF-box proteinEndothelial stem cellTranscription factorCancer researchBiochemistryGeneticsCell culture

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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.322
Teacher spread0.294 · 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

Citations68
Published2013
Admission routes1
Has abstractno

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