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Record W2763165867 · doi:10.1111/voxs.12375

Platelet immunobiology: platelets as prey and predator

2017· article· en· W2763165867 on OpenAlexaff
Rick Kapur, John W. Semple

Bibliographic record

VenueISBT Science Series · 2017
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsPlateletImmune systemImmunologyNeonatal alloimmune thrombocytopeniaMechanism (biology)BiologyInnate immune systemImmune thrombocytopeniaMedicineFetusPregnancy

Abstract

fetched live from OpenAlex

The immune response against platelets is a complex process involving many aspects of the innate and adaptive immune system. Immune destruction of platelets and megakaryocytes and the thrombocytopenia that ensues can cause different clinically significant haematological disorders such as foetal and neonatal alloimmune thrombocytopenia (FNAIT), transfusion‐induced platelet refractoriness or immune thrombocytopenia (ITP). These conditions are frequently difficult to manage so an understanding of the biological nature of these adverse conditions is critical for an understanding of how to potentially reduce them. Superimposed on these immune platelet attack mechanisms are the immune characteristics of the platelets themselves. This paper will give an overview of how the immune system recognizes platelet antigens and mounts efficient effector mechanism to mediate thrombocytopenia. It will also present evidence to suggest that platelets also play a role in stimulating these responses and suppressing them: a scenario where the ‘prey’ can become the ‘predator’.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score0.787

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 studies0.0010.002
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.296
Teacher spread0.282 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2017
Admission routes1
Has abstractyes

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