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Record W3173172916 · doi:10.1002/ajh.26274

Clinical and biological characteristics of leukemia cutis in chronic lymphocytic leukemia: A study of the French innovative leukemia organization (<scp>FILO</scp>)

2021· article· en· W3173172916 on OpenAlexaff
Grégory Lazarian, Michaël Munger, Anne Quinquenel, Marie‐Sarah Dilhuydy, Lauren Véronèse, Damien Luque Paz, Romain Guièze, Albane Ledoux‐Pilon, Jérôme Paillassa, Fatiha Merabet, Jean Vial, Audrey Bidet, Agathe Waultier Rascalou, Julien Broséus, Damien Roos‐Weil, Anne Lavaud, Lysiane Molina, Bénédicte Hivert, Chloé Friedrich, Benjamin Carpentier, Loïc Ysebaert, Eric Van Den Neste, Lise Willems, Anne Corby, Stéphanie Poulain, Virginie Éclache, E. Maubec, Antoine Martin, Pierre Feugier, Alain Delmer, Fanny Baran‐Marszak, Stéphane Leprêtre, Florence Cymbalista

Bibliographic record

VenueAmerican Journal of Hematology · 2021
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsHôpital de l'Enfant-Jésus
Fundersnot available
KeywordsChronic lymphocytic leukemiaLeukemia cutisMerkel cell carcinomaIGHV@LeukemiaMedicinePathologyCarcinomaImmunology

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)0.001
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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.023
GPT teacher head0.323
Teacher spread0.300 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of HematologySame topicChronic Lymphocytic Leukemia ResearchFrench-language works237,207