MétaCan
Menu
Back to cohort
Record W2074887437 · doi:10.1111/bjh.12480

Cellular immune dysfunction in immune thrombocytopenia (<scp>ITP</scp>)

2013· review· en· W2074887437 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Haematology · 2013
Typereview
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsCanadian Blood ServicesUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsImmune systemImmunologyDiseaseImmune thrombocytopeniaImmune dysregulationAutoimmune diseaseAutoimmunityMedicineBiologyAntibodyPathology

Abstract

fetched live from OpenAlex

Over the past decades, a wealth of information has been reported about the pathogenic features of immune thrombocytopenia (ITP). To this day, however, it is unclear whether the immune abnormalities associated with ITP play causative roles in the disease or are secondary epiphenomena brought on by the inflammatory processes that are associated with the disorder. Like the majority of all autoimmune diseases, ITP is an organ-specific disease and abnormalities in immune cell types, such as antigen-presenting cells (APC), T cells and B cells have been shown to play some sort of role in the initiation and/or perpetuation of the disease. This review will discuss recent advances in understanding three immune cells important in ITP pathophysiology: APC, T cells and B cells, and will review how they interact with each other to initiate and perpetuate ITP, particularly the chronic form of the disorder. It will also focus on new data related to the genetics of the disorder and discuss relevant animal models of ITP.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.643
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.292
Teacher spread0.265 · 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