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Record W4399600471 · doi:10.3324/haematol.2024.284968

PD-1 blockade and allogeneic hematopoietic stem cell transplantation in Hodgkin lymphoma, a matter of time: a national study on behalf of the Société Francophone de Greffe de Moelle et de Thérapie Cellulaire

2024· letter· fr· W4399600471 on OpenAlexaff
Éléonore Kaphan, François Bettega, Nicolas Vallet, Nathalie Fegueux, Marie Robin, Ali Bazarbachi, Stéphanie Nguyen, David Beauvais, Édouard Forcade, Maria Carolina Montes De, Raynier Devillier, Patrice Chevallier, Michaël Loschi, Anne Huynh, Jacques‐Olivier Bay, Marie‐Thérèse Rubio, Felipe Suárez, Sylvie François, Xavier Poiré, Nathalie Contentin, Déborah Desmier, A Charbonnier, Jérôme Cornillon, Sylvain Chantepie, Pascal Turlure, Claude‐Eric Bulabois, David Michonneau, Alban Villate, SFGM-TC

Bibliographic record

VenueHaematologica · 2024
Typeletter
Languagefr
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsHotel Dieu Hospital
FundersAgence Nationale de la Recherche
KeywordsMedicineHematopoietic stem cell transplantationBlockadeLymphomaTransplantationHematopoietic cellStem cellHodgkin lymphomaBone marrow transplantationOncologyHaematopoiesisImmunologyInternal medicineBiologyReceptor

Abstract

fetched live from OpenAlex

International audience

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.011

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 integrity0.0030.002
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 head0.014
GPT teacher head0.267
Teacher spread0.253 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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