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Record W3216450604

Treatment of relapsed and refractory multiple myeloma: recommendations from the International Myeloma Working Group

2021· article· en· W3216450604 on OpenAlexaff
Philippe Moreau, Shaji Kumar, Jesús F. San Miguel, Faith E. Davies, Elena Zamagni, Nizar J. Bahlis, Heinz Ludwig, Joseph Mıkhael, Evangelos Terpos, Fredrik Schjesvold, Thomas G. Martin, Kwee Yong, Brian G.M. Durie, Thierry Façon, Artur Jurczyszyn, Surbhi Sidana, Noopur Raje, Niels W.C.J. van de Donk, Sagar Lonial, Michèle Cavo, Sigurður Y. Kristinsson, Suzanne Lentzsch, Roman Hájek, Kenneth C. Anderson, Cristina João, Hermann Einsele, Pieter Sonneveld, Monika Engelhardt, Rafaël Fonseca, Annette Juul Vangsted, Katja Weisel, Rachid Baz, Vânia Hungria, Jesús G. Berdeja, Fernando Leal da Costa, Ângelo Maiolino, Anders Waage, David H. Vesole, Enrique M. Ocio, Hang Quach, Christoph Driessen, Joan Bladé, Xavier Leleu, Eloísa Riva, P. Leif Bergsagel, Jian Hou, Wee Joo Chng, Ulf‐Henrik Mellqvist, Dominik Dytfeld, Jean‐Luc Harousseau, Hartmut Goldschmidt, Jacob P. Laubach, Nikhil C. Munshi, Meral Beksaç, Luciano J. Costa, Martin Kaiser, Parameswaran Hari, Mario Boccadoro, Saad Z. Usmani, Sonja Zweegman, Sarah A. Holstein, Orhan Sezer, Simon J. Harrison, Hareth Nahi, Gordon Cook, María‐Victoria Mateos, S. Vincent Rajkumar, Meletios Α. Dimopoulos, Paul G. Richardson

Bibliographic record

VenueUCL Discovery (University College London) · 2021
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMultiple myelomaRefractory (planetary science)MedicineClinical trialOncologyInternal medicineClinical PracticeIntensive care medicineFamily medicine
DOInot available

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)0.031
metaresearch head score (Gemma)0.053
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: Editorial · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0040.005
Science and technology studies0.0020.003
Scholarly communication0.0050.005
Open science0.0060.004
Research integrity0.0140.020
Insufficient payload (model declined to judge)0.0080.007

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 head0.026
GPT teacher head0.251
Teacher spread0.225 · 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
GenreEditorial

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueUCL Discovery (University College London)Same topicMultiple Myeloma Research and TreatmentsFrench-language works237,207