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Record W4405584069 · doi:10.1002/ajh.27563

Treatment Effectiveness of Venetoclax‐Based Therapy After Bruton Tyrosine Kinase Inhibitors in Chronic Lymphocytic Leukemia: An International Real‐World Study

2024· letter· en· W4405584069 on OpenAlexaff
Nilanjan Ghosh, Toby A. Eyre, Jennifer R. Brown, Nicole Lamanna, Beenish S. Manzoor, Catherine C. Coombs, Hande H. Tuncer, Chaitra S. Ujjani, Lori A. Leslie, Lindsey E. Roeker, Matthew S. Davids, Joanna Rhodes, Alan P Skarbnik, Wendy Sinai, Isabelle Fleury, Brian T. Hill, Nicolás Martínez‐Calle, Paul M. Barr, Dureshahwar Jawaid, Nnadozie Emechebe, Laurie Pearson, Frederick Lansigan, Yun Young Choi, Christopher E. Jensen, Bita Fakhri, Deborah M. Stephens, Steven E. Marx, Stephen J. Schuster, Michael Coyle, Irina Pivneva, Talissa Watson, Annie Guerin, Mazyar Shadman

Bibliographic record

VenueAmerican Journal of Hematology · 2024
Typeletter
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsGroup for Research in Decision AnalysisUniversité de MontréalHôpital Maisonneuve-Rosemont
FundersIncytePharmacyclicsGenentechGrifolsGalápagosMEI PharmaBeiGeneNational Cancer InstituteAbbVieSeagenGilead SciencesLoxo OncologyTG TherapeuticsPfizerAstraZenecaEli Lilly and Company
KeywordsVenetoclaxMedicineChronic lymphocytic leukemiaDiscontinuationIbrutinibInternal medicineOncologyClinical trialIdelalisibLeukemia

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)0.007
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.019
GPT teacher head0.342
Teacher spread0.324 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

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