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Record W2121142323 · doi:10.3109/10428194.2015.1010079

Barriers to enrollment of patients with recurrent diffuse large B-cell lymphoma onto clinical trials

2015· letter· en· W2121142323 on OpenAlexaff
A. Marton, Abbas Kezouh, Tina Petrogiannis‐Haliotis, Sarit Assouline

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2015
Typeletter
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsJewish General HospitalMcGill University
Fundersnot available
KeywordsDiffuse large B-cell lymphomaLymphomaMedicineInternal medicineOncologyRefractory (planetary science)Clinical trialBiology

Abstract

fetched live from OpenAlex

Patients with relapsed and refractory diffuse large B-cell lymphoma (DLBCL), a significant minority of all patients with DLBCL [1], tend to have a rapidly progressive course with a median survival ...

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)0.041
metaresearch head score (Gemma)0.118
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.959
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.118
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0070.005
Open science0.0030.005
Research integrity0.0150.014
Insufficient payload (model declined to judge)0.0170.007

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 head0.032
GPT teacher head0.311
Teacher spread0.278 · 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.

Study designObservational
DomainMethods
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

Citations1
Published2015
Admission routes1
Has abstractyes

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