MétaCan
Menu
Back to cohort
Record W2344277891 · doi:10.1159/000444515

Practical Management of Castleman's Disease

2016· letter· en· W2344277891 on OpenAlexaff
Musa Alzahrani, Mansoor Radwi, Heather A. Leitch

Bibliographic record

VenueActa Haematologica · 2016
Typeletter
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsUniversity of British ColumbiaMcMaster UniversitySt. Paul's Hospital
Fundersnot available
KeywordsPathogenesisMedicineCastleman diseaseDiseaseImmunologyLymphoproliferative diseaseLymphoproliferative disordersHuman herpesvirusHuman immunodeficiency virus (HIV)LymphomaPathology

Abstract

fetched live from OpenAlex

Castleman's disease (CD) is a rare lymphoproliferative disorder that is most commonly present in multicentric (MCD) form in association with HIV infection. Interleukin-6 (IL-6) and human herpesvirus-8 (HHV-8) play major roles in MCD pathogenesis. Important treatment options have recently become available, particularly with the introduction of IL-6 and IL-6 receptor inhibitors for the treatment of HIV-negative patients with MCD. Though advances in therapy may improve outcomes in some patients, the prognosis remains guarded, and a stratified approach to the management of MCD is needed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0040.002

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 head0.040
GPT teacher head0.321
Teacher spread0.281 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueActa HaematologicaSame topicViral-associated cancers and disordersFrench-language works237,207