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Record W2317918361 · doi:10.1002/0471142735.im1530s113

Mouse Models for Immune‐Mediated Platelet Destruction or Immune Thrombocytopenia (ITP)

2016· article· en· W2317918361 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Protocols in Immunology · 2016
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsInstitute of Infection and ImmunityToronto General HospitalUniversity of TorontoCanadian Blood Services
FundersHealth CanadaCanadian Blood ServicesInstituto de Tecnologia e Pesquisa, Universidade TiradentesAustralian Government
KeywordsImmune thrombocytopeniaImmune systemPlateletImmunologyMedicine

Abstract

fetched live from OpenAlex

Immune thrombocytopenia (ITP) is a debilitating, life-threatening autoimmune disorder affecting more than 4 in every 100,000 adults annually, stemming from the production of antiplatelet antibody resulting in accelerated platelet destruction and thrombocytopenia. Numerous animal models of ITP have been developed that contributed to the basic understanding of the underlying mechanisms of ITP onset, progression, and maintenance. Rodent models that develop ITP spontaneously, or by passive transfer of an antiplatelet sera or antibody, play an instrumental role in the investigation of ITP mechanisms responsible for the breakdown of tolerance in human ITP, in studies of the immunopathology underlying the progression of platelet destruction, and in elucidation of the mechanisms of therapeutic amelioration of ITP by existing and new therapeutic modalities. This unit captures the protocols for the implementation and readout of passive antibody transfer mouse models of ITP, established by the infusion of a commercially-available monoclonal rat anti-mouse CD41 platelet antibody.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.067
GPT teacher head0.357
Teacher spread0.290 · 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