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Record W4411343965 · doi:10.1002/hon.70094_220

220 | HIGH EFFICACY OF BRIEF BRAF AND MEK COINHIBITION, ALONE AND COMBINED WITH ANTI‐CD20 IMMUNOTHERAPY, IN RELAPSED/REFRACTORY HAIRY CELL LEUKEMIA: A PHASE‐2 TRIAL

2025· article· en· W4411343965 on OpenAlexfundno aff
Luca De Carolis, Monia Capponi, Floriana Falcinelli, Caterina Stelitano, Alessandro Pulsoni, Edoardo Simonetti, Alessandra Romano, Alessandro Mancini, G. M. D'Elia, J. Olivieri, Pier Luigi Zinzani, Marzia Varettoni, Simone Ferrero, Massimo Pini, R. Foà, E. Lucchini, Maurizio Frezzato, Brunangelo Falini, Enrico Tiacci

Bibliographic record

VenueHematological Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsnot available
FundersRegeneron PharmaceuticalsCelgeneLeukemia and Lymphoma Society of CanadaBristol-Myers Squibb
KeywordsMedicineRefractory (planetary science)CD20ImmunotherapyOncologyLeukemiaCancer researchInternal medicineLymphomaCancerBiology

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)0.001
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.002

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 head0.018
GPT teacher head0.324
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 designNon-randomized trial
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

Citations0
Published2025
Admission routes1
Has abstractyes

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