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Record W2886628870 · doi:10.1182/blood-2018-05-852798

Crbn I391V is sufficient to confer in vivo sensitivity to thalidomide and its derivatives in mice

2018· article· en· W2886628870 on OpenAlexaff
Emma C. Fink, Marie McConkey, Saurav D. Haldar, James A. Kennedy, Andrew A. Guirguis, Namrata D. Udeshi, D.R. Mani, Michelle Chen, Brian Liddicoat, Tanya Svinkina, Andrew Nguyen, Steven A. Carr, Benjamin L. Ebert

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsPrincess Margaret Cancer Centre
FundersNational Heart, Lung, and Blood InstituteNational Cancer InstituteNational Institutes of HealthNational Institute of General Medical SciencesHenry and Marilyn Taub FoundationEdward P. Evans FoundationHoward Hughes Medical Institute
KeywordsThalidomideLenalidomideIn vivoCereblonPharmacologyMultiple myelomaMedicineCancer researchChemistryImmunologyBiologyGeneticsBiochemistry

Abstract

fetched live from OpenAlex

Key Points Crbn I391V mice degrade known thalidomide derivative targets and recapitulate thalidomide-induced cytopenias and teratogenicity. Degradation of Ck1α is sufficient to explain the in vivo therapeutic window of lenalidomide in del(5q) myelodysplastic syndrome.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.032
GPT teacher head0.324
Teacher spread0.292 · 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

Citations127
Published2018
Admission routes1
Has abstractyes

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