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Record W3133800890 · doi:10.3324/haematol.2020.261842

Stem cell yield and transplantation in transplant-eligible newly diagnosed multiple myeloma patients receiving daratumumab + bortezomib/thalidomide/dexamethasone in the phase 3 CASSIOPEIA study

2021· letter· en· W3133800890 on OpenAlexaff
Cyrille Hulin, Fritz Offner, Philippe Moreau, Murielle Roussel, Karim Belhadj, Lotfi Benboubker, Denis Caillot, Thierry Façon, Laurent Garderet, Frédérique Kuhnowski, Anne‐Marie Stoppa, Brigitte Kolb, Mourad Tiab, Kon‐Siong G. Jie, Matthijs Westerman, Jérôme Lambert, Lixia Pei, Véronique Vanquickelberghe, Carla de Boer, Jessica Vermeulen, Tobias Kampfenkel, Pieter Sonneveld, Niels W.C.J. van de Donk

Bibliographic record

VenueHaematologica · 2021
Typeletter
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsHotel Dieu Hospital
FundersErasmus Universitair Medisch Centrum RotterdamVrije Universiteit AmsterdamServierSorbonne UniversitéInstitut National de la Santé et de la Recherche MédicaleAmsterdam University Medical CentersSanofiUniversité de LilleAssistance publique-Hôpitaux de ParisCelgeneBristol-Myers SquibbAmgen
KeywordsDaratumumabBortezomibMultiple myelomaMedicineDexamethasoneInternal medicineThalidomideTransplantationAutologous stem-cell transplantationOncology

Abstract

fetched live from OpenAlex

Stem cell yield and transplantation in transplant-eligible newly diagnosed multiple myeloma patients receiving daratumumab plus bortezomib

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.312
Teacher spread0.254 · 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 designRandomized 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

Citations52
Published2021
Admission routes1
Has abstractyes

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