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Record W2943920857 · doi:10.1016/j.ekir.2019.04.022

Persistent Mixed Cryoglobulinemia Despite Successful Treatment of Hepatitis C, Aggressive B-Cell–Directed Therapies, and Long-term Plasma Exchanges

2019· article· en· W2943920857 on OpenAlexaff
Karyne Pelletier, Virginie Royal, Frédéric Mongeau, Rosalie‐Sélène Meunier, Daniel Dion, Kevin Jao, Stéphan Troyanov

Bibliographic record

VenueKidney International Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsCegep de Saint JeromeHôpital Maisonneuve-RosemontUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsCryoglobulinsMedicineCryoglobulinemiaMacroglobulinemiaMonoclonalImmunologyWaldenstrom macroglobulinemiaImmunoglobulin MChronic lymphocytic leukemiaRheumatoid factorPolyclonal antibodiesMonoclonal gammopathy of undetermined significanceMultiple myelomaVirologyHepatitis C virusMonoclonal antibodyImmune systemRheumatoid arthritisAntigenAntibodyImmunoglobulin GLeukemiaLymphomaVirus

Abstract

fetched live from OpenAlex

Cryoglobulins are Igs that precipitate in cold temperature. Three subsets have been described: type I consists of only monoclonal Ig, usually due to monoclonal gammopathy of undetermined significance, multiple myeloma, Waldenström macroglobulinemia, or chronic lymphocytic leukemia.1 Type II cryoglobulins contain polyclonal IgG and a monoclonal IgM with rheumatoid factor (RF) activity directed against the IgG, whereas type III contains both polyclonal IgG and IgM RF.2 Types II and III, also called mixed cryoglobulinemia, result in most cases from a B-cell proliferative process in the setting of persistent immune activation triggered by chronic hepatitis C virus (HCV) infection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.281
Teacher spread0.267 · 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 teacher head, not a consensus.

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

Citations9
Published2019
Admission routes1
Has abstractyes

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