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Record W4293703573 · doi:10.1038/s41586-022-05226-7

Author Correction: PHGDH heterogeneity potentiates cancer cell dissemination and metastasis

2022· erratum· en· W4293703573 on OpenAlexaff
Matteo Rossi, Patricia Altea‐Manzano, Margherita Demicco, Ginevra Doglioni, Laura Bornes, Marina Fukano, Anke Vandekeere, Alejandro M. Cuadros, Juan Fernández-García, Carla Riera‐Domingo, Cristina Jauset, Mélanie Planque, H. Furkan Alkan, David Nittner, Dongmei Zuo, Lindsay A. Broadfield, Sweta Parik, Antonino Alejandro Pane, Francesca Rizzollo, Gianmarco Rinaldi, Tao Zhang, Shao Thing Teoh, Arin B. Aurora, Panagiotis Karras, Ines Vermeire, Dorien Broekaert, Joke Van Elsen, Maximilian M. L. Knott, Martin F. Orth, Sofie Demeyer, Guy Eelen, Lacey E. Dobrolecki, Ayse Bassez, Thomas Van Brussel, Karl Sotlar, Michael T. Lewis, Harald Bartsch, Manfred Wuhrer, Peter A. van Veelen, Peter Carmeliet, Jan Cools, Sean J. Morrison, Jean‐Christophe Marine, Diether Lambrechts, Massimiliano Mazzone, Gregory J. Hannon, Sophia Y. Lunt, Thomas G. P. Grünewald, Morag Park, Jacco van Rheenen, Sarah‐Maria Fendt

Bibliographic record

VenueNature · 2022
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsMcGill UniversityInstitute for Research in Immunology and CancerUniversité de MontréalMcGill University Health Centre
FundersNational Cancer Institute
KeywordsMetastasisCancer metastasisCancer researchCancer cellCancerCellBiologyGenetics

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)0.003
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.035
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0420.021

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 head0.007
GPT teacher head0.284
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations7
Published2022
Admission routes1
Has abstractno

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