MétaCan
Menu
Back to cohort
Record W3049070288 · doi:10.3324/haematol.2020.255950

Molecular attributes underlying central nervous system and systemic relapse in diffuse large B-cell lymphoma

2020· letter· en· W3049070288 on OpenAlexafffund
Keren Isaev, Daisuke Ennishi, Laura K. Hilton, Brian Skinnider, Karen Mungall, Andrew J. Mungall, Mehran Bakhtiari, Rosemarie Tremblay‐LeMay, Anjali Silva, Susana Ben‐Neriah, Merrill Boyle, Diego Villa, Marco A. Marra, Christian Steidl, Randy D. Gascoyne, Ryan D. Morin, Kerry J. Savage, David W. Scott, Robert Kridel

Bibliographic record

VenueHaematologica · 2020
Typeletter
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsSimon Fraser UniversityCanada's Michael Smith Genome Sciences CentrePrincess Margaret Cancer CentreSpinal Cord Injury BCUniversity Health Network
FundersBC Cancer FoundationPrincess Margaret Cancer FoundationCanadian Cancer Society Research InstituteCanadian Institutes of Health ResearchEuropean Hematology AssociationGenome CanadaHospital for Sick ChildrenGenome British Columbia
KeywordsDiffuse large B-cell lymphomaLymphomaCentral nervous systemMedicinePathologyInternal medicine

Abstract

fetched live from OpenAlex

Molecular attributes underlying central nervous system and systemic relapse in diffuse large B-cell lymphoma

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.244
Teacher spread0.216 · 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

Citations15
Published2020
Admission routes2
Has abstractno

Explore more

Same venueHaematologicaSame topicLymphoma Diagnosis and TreatmentFrench-language works237,207