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Record W2602605464 · doi:10.1182/blood-2017-01-761973

Venetoclax and obinutuzumab in chronic lymphocytic leukemia

2017· letter· en· W2602605464 on OpenAlexaff
Kirsten Fischer, Othman Al‐Sawaf, Anna‐Maria Fink, Mark Dixon, Jasmin Bahlo, Simon Warburton, Thomas J. Kipps, Robert Weinkove, Sue Robinson, Till Seiler, Stephen Opat, Carolyn Owen, Javier López, Kathryn Humphrey, Rod Humerickhouse, Eugen Tausch, Lukas P. Frenzel, Barbara Eichhorst, Clemens-M. Wendtner, Stephan Stilgenbauer, Anton W. Langerak, Jacque J. M. van Dongen, Sebastian Böttcher, Matthias Ritgen, Valentin Goede, Mehrdad Mobasher, Michael Hallek

Bibliographic record

VenueBlood · 2017
Typeletter
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsVenetoclaxObinutuzumabChronic lymphocytic leukemiaChlorambucilMedicineInternal medicineFludarabineIbrutinibLeukemiaIGHV@OncologyBendamustineImmunologyChemotherapyCyclophosphamide

Abstract

fetched live from OpenAlex

To the editor: In chronic lymphocytic leukemia (CLL), the median age at diagnosis is 72 years, and most patients requiring therapy have coexisting medical conditions. Venetoclax is a potent BH3-mimetic compound that selectively antagonizes BCL-2 and has shown efficacy as monotherapy and with

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)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.021
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0210.017
Insufficient payload (model declined to judge)0.0030.002

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 head0.023
GPT teacher head0.294
Teacher spread0.270 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations117
Published2017
Admission routes1
Has abstractyes

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