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Record W4221065122 · doi:10.1038/s41392-022-00958-4

Correction: Activation of RAS/MAPK pathway confers MCL-1 mediated acquired resistance to BCL-2 inhibitor venetoclax in acute myeloid leukemia

2022· erratum· en· W4221065122 on OpenAlexaff
Qi Zhang, Bridget Riley‐Gillis, Lina Han, Yannan Jia, Alessia Lodi, Haijiao Zhang, Saravanan Ganesan, Rongqing Pan, Sergej Konoplev, Shannon Sweeney, Jeremy Ryan, Yulia Jitkova, Kenneth Dunner, Shaun Grosskurth, Priyanka Vijay, Sujana Ghosh, Charles Lu, Wencai Ma, Stephen E. Kurtz, Vivian Ruvolo, Helen Ma, Connie C. Weng, Cassandra L. Ramage, Natalia Baran, Tianyu Cai, R. Eric Davis, Venkata Lokesh Battula, Yingchang Mi, Jing Wang, Courtney D. DiNardo, Michael Andreeff, Jeffery W. Tyner, Aaron D. Schimmer, Anthony Letai, Rose Ann Padua, Carlos E. Bueso-Ramos, Stefano Tiziani, Joel D. Leverson, Relja Popovic, Marina Konopleva

Bibliographic record

VenueSignal Transduction and Targeted Therapy · 2022
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsVenetoclaxMyeloid leukemiaCancer researchMedicineLeukemiaMyeloidMAPK/ERK pathwayImmunologyBiologySignal transductionChronic lymphocytic leukemiaGenetics

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 categoriesMeta-epidemiology (narrow)
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 score0.332
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.227
Teacher spread0.218 · 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.

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

Citations12
Published2022
Admission routes1
Has abstractno

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