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Record W4378902851 · doi:10.1038/s41467-023-38841-7

In vivo CRISPR screens reveal Serpinb9 and Adam2 as regulators of immune therapy response in lung cancer

2023· article· en· W4378902851 on OpenAlexafffund
Dzana Dervovic, Ahmad Malik, Edward L.Y. Chen, Masahiro Narimatsu, Nina Adler, Somaieh Afiuni‐Zadeh, Dagmar Krenbek, Sébastien Martinez, Ricky Tsai, Jonathan Boucher, Jacob M. Berman, Katie Teng, Arshad Ayyaz, YiQing Lü, Geraldine Mbamalu, Sampath K. Loganathan, Jongbok Lee, Li Zhang, Cynthia J. Guidos, Jeffrey L. Wrana, Arschang Valipour, Philippe P. Roux, Jüri Reimand, Hartland W. Jackson, Daniel Schramek

Bibliographic record

VenueNature Communications · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsMcGill UniversityUniversity of CalgaryUniversité de MontréalInstitute for Research in Immunology and CancerOntario Institute for Cancer ResearchToronto General HospitalUniversity Health NetworkUniversity of TorontoLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
FundersCIHR Skin Research Training CentreFonds de Recherche du Québec - SantéCanadian Cancer Society Research InstituteCanadian Institutes of Health ResearchHospital for Sick ChildrenTerry Fox Research InstituteKrembil FoundationUniversity of TorontoGovernment of Canada
KeywordsCRISPRIn vivoImmune systemCancerCancer researchBiologyLung cancerComputational biologyMedicineBioinformaticsImmunologyPathologyGeneticsGene

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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 score0.002
Threshold uncertainty score0.008

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.360
Teacher spread0.347 · 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

Citations40
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueNature CommunicationsSame topicCancer-related molecular mechanisms researchFrench-language works237,207