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Record W2772881286 · doi:10.1182/blood-2017-08-797886

Safety and efficacy of selinexor in relapsed or refractory multiple myeloma and Waldenstrom macroglobulinemia

2017· article· en· W2772881286 on OpenAlexaff
Christine Chen, David S. Siegel, Martin Gutierrez, Meagan A. Jacoby, Craig C. Hofmeister, Nashat Gabrail, Rachid Baz, Morten Mau‐Sørensen, Jesús G. Berdeja, Michael R. Savona, Lynn Savoie, Suzanne Trudel, Nuchanan Areethamsirikul, Thaddeus J. Unger, Tami Rashal, Tim Hanke, Michael Kauffman, Sharon Shacham, Donna Reece

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of CalgaryPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMultiple myelomaMedicineMacroglobulinemiaRefractory (planetary science)Waldenstrom macroglobulinemiaDexamethasoneInternal medicineOncologyGastroenterologyLymphomaBiology

Abstract

fetched live from OpenAlex

Key Points Selinexor is an oral XPO1 inhibitor with antimyeloma activity. The RP2D is 45 mg/m2 (80 mg) selinexor plus 20 mg dexamethasone given twice weekly.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.061
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.311
Teacher spread0.286 · 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 teacher head, 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

Citations135
Published2017
Admission routes1
Has abstractyes

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