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Record W2956339027 · doi:10.1016/j.ccell.2019.06.003

Mubritinib Targets the Electron Transport Chain Complex I and Reveals the Landscape of OXPHOS Dependency in Acute Myeloid Leukemia

2019· article· en· W2956339027 on OpenAlexafffund
Irène Baccelli, Yves Gareau, Bernhard Lehnertz, Stéphane Gingras, Jean-François Spinella, Sophie Corneau, Nadine Mayotte, Simon Girard, Mélanie Fréchette, Valérie Blouin-Chagnon, Koryne Leveillé, Isabel Boivin, Tara MacRae, Jana Krošl, Clarisse Thiollier, Vincent‐Philippe Lavallée, Evgeny Kanshin, Thierry Bertomeu, Jasmin Coulombe‐Huntington, Corinne St‐Denis, Marie-Ève Bordeleau, Geneviève Boucher, Philippe P. Roux, Sébastien Lemieux, Mike Tyers, Pierre Thibault, Josée Hébert, Anne Marinier, Guy Sauvageau

Bibliographic record

VenueCancer Cell · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsLeukemia & Lymphoma Society of CanadaHôpital Maisonneuve-RosemontUniversité de MontréalInstitute for Research in Immunology and Cancer
FundersFonds de Recherche du Québec - SantéInstitut de Valorisation des DonnéesUniversité de MontréalCanada First Research Excellence FundCanada Research ChairsMcGill UniversityGénome QuébecHuman Frontier Science ProgramGovernment of CanadaMinistère de l'Économie, de la Science et de l'Innovation - QuébecGenome Canada
KeywordsMyeloid leukemiaDependency (UML)Cancer researchLeukemiaOxidative phosphorylationCell biologyBiologyComputational biologyComputer scienceImmunologyBiochemistry

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 score0.004
Threshold uncertainty score0.012

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.278
Teacher spread0.265 · 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

Citations262
Published2019
Admission routes2
Has abstractno

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