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Record W3133386458 · doi:10.21203/rs.3.rs-155292/v1

Mutation and Microsatellite Burden Predict Response to PD-1 Inhibition in Children with Germline DNA Replication Repair Deficiency

2021· preprint· en· W3133386458 on OpenAlexafffund
Uri Tabori, Daniel A. Morgenstern, Sumedha Sudhaman, Anirban Das, Ailish Coblentz, Jiil Chung, Simone C. Stone, Noor Alsafwani, Vanja Cabric, Liana Nobre, Vanessa Bianchi, Melissa Edwards, Lauren Sambira, Shlomi Constantini, Rina Dvir, Michal Yalon, Gadi Abebe‐Campino, Shani Caspi, Valérie Larouche, Alyssa Reddy, Michael Osborn, Gary Mason, Scott Lindhorst, Annika Bronsema, Vanan Magimairajan, Enrico Opocher, Rebecca De Mola, Magnus Sabel, Charlotta A. Frojd, David Sumerauer, David Samuel, Kristina A. Cole, Stefano Chiaravalli, Maura Massimino, Patrick Tomboc, David S. Ziegler, Ben George, An Van Damme, Nobuko Hijaya, David Gass, Rose B. McGee, Oz Mordechai, Daniel C. Bowers, Ted Laetsch, Alexander Lossos, Deborah T. Blumenthal, Tomasz Sarosiek, Jeffrey Knipstein, Anne Bendel, Lindsey M. Hoffman, Sandra Luna‐Fineman, Stefanie Zimmermann, Isabelle Scheers, Kim E. Nichols, Michal Zápotocký, Jordan R. Hansford, John M. Maris, Peter B. Dirks, Michael H. Taylor, Abhaya V. Kulkarni, Manohar Shroff, Derek S. Tsang, David Malkin, Anita Villani, Melyssa Aronson, Carol Durno, Adam Shlien, Gad Getz, Yosef E. Maruvka, Pamela S. Ohashi, Cynthia Hawkins, Trevor J. Pugh, Éric Bouffet

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsOntario Institute for Cancer ResearchResearch Institute in Oncology and HematologyPrincess Margaret Cancer CentreMount Sinai HospitalUniversity Health NetworkCancerCare ManitobaUniversité LavalUniversity of TorontoSickKids FoundationUniversity of ManitobaCentre hospitalier universitaire de QuébecHospital for Sick Children
FundersStand Up To CancerCanadian Institutes of Health ResearchAmerican Association for Cancer Research
KeywordsGermlineReplication (statistics)MicrosatelliteGeneticsGermline mutationBiologyMutationGeneVirologyAllele

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.323
Teacher spread0.307 · 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 designObservational
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

Citations2
Published2021
Admission routes2
Has abstractno

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