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Record W3033735360 · doi:10.1016/j.molcel.2020.05.021

Endogenous DNA 3′ Blocks Are Vulnerabilities for BRCA1 and BRCA2 Deficiency and Are Reversed by the APE2 Nuclease

2020· article· en· W3033735360 on OpenAlexafffund
Alejandro Álvarez-Quilón, Jessica L. Wojtaszek, Marie‐Claude Mathieu, Tejas Patel, C. Denise Appel, Nicole Hustedt, Silvia Emma Rossi, Bret D. Wallace, Dheva Setiaputra, Salomé Adam, Yota Ohashi, Henrique Melo, Tiffany Cho, Christian Gervais, Iván Muñoz, Eric Grazzini, Jordan T.F. Young, John Rouse, Michael Zinda, R. Scott Williams, Daniel Durocher

Bibliographic record

VenueMolecular Cell · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsCanada Research ChairsUniversity of TorontoLunenfeld-Tanenbaum Research InstituteNational Research Council CanadaMount Sinai Hospital
FundersBasic Energy SciencesNational Institute of Environmental Health SciencesMedical Research CouncilCanada Research ChairsNational Institutes of HealthOffice of ScienceDepartment of Energy, Labor and Economic GrowthNational Center for Research ResourcesKrembil FoundationArgonne National LaboratoryU.S. Department of EnergyEuropean Molecular Biology OrganizationCanadian Cancer SocietyCanadian Institutes of Health ResearchNational Research Council
KeywordsBiologyNucleaseEndogenyDNAGeneticsCell biologyComputational biologyMolecular biologyBiochemistry

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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.003

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 head0.220
Teacher spread0.210 · 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

Citations118
Published2020
Admission routes2
Has abstractno

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