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Record W4386270971 · doi:10.1016/s2152-2650(23)00760-7

POSTER: IBCL-098 TRANSCEND FL: Phase II Study Results of Lisocabtagene Maraleucel (Liso-Cel) in Patients With R/R Follicular Lymphoma (FL)

2023· article· en· W4386270971 on OpenAlexaff
Loretta J. Nastoupil, Saurabh Dahiya, M. Lia Palomba, Juan Luis Reguera Ortega, John Kuruvilla, Ulrich Jäger, Guillaume Cartron, Koji Izutsu, Martin Dreyling, Brad S. Kahl, Hervé Ghesquières, Kirit M. Ardeshna, Hideki Goto, Anna Maria Barbui, Jeremy S. Abramson, Peter Borchmann, Isabelle Fleury, Stephan Mielke, Thalia A. Farazi, Omotayo Fasan, James Lymp, Min Vedal, Rina Nishii, Ariel Avilion, Jessica Papuga, F. Morschhauser

Bibliographic record

VenueClinical Lymphoma Myeloma & Leukemia · 2023
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsHôpital Maisonneuve-RosemontPrincess Margaret Cancer Centre
FundersUniversity of Texas MD Anderson Cancer CenterSchool of Medicine, Stanford UniversityCentre hospitalier régional universitaire de LilleWashington University School of Medicine in St. LouisUniversity College London Hospitals NHS Foundation TrustUniversität zu KölnMassachusetts General HospitalHokkaido UniversityBristol-Myers SquibbCentro de Investigación Biomédica en Red de CáncerMedizinische Universität WienKarolinska InstitutetMemorial Sloan-Kettering Cancer CenterUniversität WienUniversity College London
KeywordsFollicular lymphomaFollicular phaseOncologyMedicineInternal medicineBiologyLymphoma

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
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 score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
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)0.0150.003

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 head0.028
GPT teacher head0.325
Teacher spread0.297 · 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
Published2023
Admission routes1
Has abstractno

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