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Record W4210422384 · doi:10.1002/hon.2879

ORAL PRESENTATIONS

2021· article· en· W4210422384 on OpenAlexfundno aff
Michael Hallek, Gianni Bonadonna, Memorial Lecture, John Ultmann, Stephen M. Ansell, Élodie Bal, Rahul Kumar, Mohammad Hadigol, Antony B. Holmes, Katia Basso, Hossein Khiabanian, Laura Pasqualucci, Riccardo Dalla‐Favera, Serge Bologna, Thierry Vander Borght, Josette Brière, Vincent Ribrag, Gandhi Damaj, Catherine Thiéblemont, Pierre Feugier, F. Peyrade, Laure Lebras, Diane Coso, David Sibon, Christophe Bonnet, Franck Morschhauser, H. Ghesquières, Stéphanie J. E. Becker, Patrick Olivier, Bettina Fabiani, H Tilly, Corinne Haïoun, Jean Bastié, Brian J. Sworder, David M. Kurtz, Stefan Alig, Matthew J. Frank, Colin Macauley, Andrea Garofalo, Navika Shukla, Bita Sahaf, Natasha Sheybani, Joseph G. Schroers‐Martin, C Liu, Michael D. Olsen, Jeffrey H. Spiegel, Jean Oak, Michael C. Jin, Sara Beygi, Yasodha Natkunam, Robbie G. Majzner, Crystal L. Mackall, Maximilian Diehn, David B. Miklos, Ash A. Alizadeh

Bibliographic record

VenueHematological Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsnot available
FundersCilagPharmacyclicsGenentechCentre Hospitalier Universitaire de Clermont-FerrandCentre hospitalier régional universitaire de LilleHumanitas UniversityCentre Hospitalier Universitaire de NantesUniversità di PisaUniversität zu KölnWashington University in St. LouisUniversité Paris DescartesGlaxoSmithKlineCentre Hospitalier Universitaire VaudoisInstitute for Oil Sands Innovation, University of AlbertaSwiss Institute of BioinformaticsAstraZenecaCentre Hospitalier Régional Universitaire de MontpellierJewish General HospitalSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungSeagenSunesisCentre Hospitalier Universitaire de BordeauxBeiGeneUniversità Degli Studi di Modena e Reggio EmilaUniversity of RochesterGilead SciencesInstitut National de la Santé et de la Recherche MédicaleRégion NormandieMemorial Sloan-Kettering Cancer CenterBristol-Myers SquibbEli Lilly and CompanyAmerican Society of Clinical OncologyCelgeneAmgenAssistance publique-Hôpitaux de ParisNational Science Foundation
KeywordsMedicineGeology

Abstract

fetched live from OpenAlex

Chronic lymphocytic leukemia (CLL) represents one of the most active fields of clinical research at the present time.1,2 This short review summarizes some of the basic, translational and clinical research that has led to substantial improvements of the management of patients with CLL over the past two decades.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.368
Threshold uncertainty score0.525

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.6320.371

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 head0.085
GPT teacher head0.416
Teacher spread0.331 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2021
Admission routes1
Has abstractyes

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