MétaCan
Menu
Back to cohort
Record W2889377600 · doi:10.1038/s41586-018-0466-7

Role of glutamine synthetase in angiogenesis beyond glutamine synthesis

2018· article· en· W2889377600 on OpenAlexaff
Guy Eelen, Charlotte Dubois, Anna Rita Cantelmo, Jermaine Goveia, Ulrike Brüning, Michael DeRan, Gopala K. Jarugumilli, Jos van Rijssel, Giorgio Saladino, Federico Comitani, Annalisa Zecchin, Susana Rocha, Rongyuan Chen, Hongling Huang, Saar Vandekeere, Joanna Kalucka, Christian Lange, Francisco Morales-Rodriguez, Bert Cruys, Lucas Treps, Leanne M. Ramer, Stefan Vinckier, Katleen Brepoels, Sabine Wyns, Joris Souffreau, Luc Schoonjans, Wouter H. Lamers, Yi Wu, Jurgen Haustraete, Johan Hofkens, Sandra Liekens, Richard M. Cubbon, Bart Ghesquière, Mieke Dewerchin, Francesco Luigi Gervasio, Xuri Li, Jaap D. van Buul, Xu Wu, Peter Carmeliet

Bibliographic record

VenueNature · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsSimon Fraser University
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of General Medical SciencesEngineering and Physical Sciences Research CouncilNational Institutes of HealthVlaamse regeringFonds Wetenschappelijk OnderzoekSun Yat-sen UniversityPartnership for Advanced Computing in Europe AISBLNational Natural Science Foundation of ChinaNational Cancer InstituteBritish Heart FoundationState Key Laboratory of OphthalmologyLandsteiner Foundation for Blood Transfusion ResearchAustralian GovernmentFondation contre le Cancer
KeywordsAngiogenesisGlutamineGlutamine synthetaseEndothelial stem cellCell biologyUmbilical veinGene knockdownChemistryPalmitoylationBiologyBiochemistryEnzymeCancer researchAmino acidApoptosisIn vitro

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.223
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.003
GPT teacher head0.228
Teacher spread0.225 · 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 teacher head, 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

Citations225
Published2018
Admission routes1
Has abstractno

Explore more

Same venueNatureSame topicCancer, Hypoxia, and MetabolismFrench-language works237,207