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Record W2168801827 · doi:10.3324/haematol.2013.102897

Severe platelet desialylation in a patient with glycoprotein Ib/IX antibody-mediated immune thrombocytopenia and fatal pulmonary hemorrhage

2014· letter· en· W2168801827 on OpenAlexafffund
Jingxin Li, Jeannie Callum, Yulia Lin, Yan Zhou, Guangheng Zhu, Heyu Ni

Bibliographic record

VenueHaematologica · 2014
Typeletter
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreCanadian Blood ServicesUniversity of TorontoSt. Michael's Hospital
FundersCanadian Institutes of Health ResearchUniversity of TorontoCanadian Blood Services
KeywordsImmune thrombocytopeniaPlateletAntibodyPulmonary hemorrhageGlycoproteinImmunologyMedicineImmune systemPlatelet membrane glycoproteinGlycoprotein IbIsoantibodiesHematologyInternal medicineChemistryBiochemistryLung

Abstract

fetched live from OpenAlex

Immune thrombocytopenia (ITP) is a common bleeding disorder characterized by autoantibody-mediated platelet destruction. Antibodies predominantly target platelet glycoproteins GPIIb/IIIa (70–80%) and GPIb/IX (20–40%), with some patients having both. In animal models, anti-GPIb/IX but not anti-

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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 designCase report
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

Citations59
Published2014
Admission routes2
Has abstractyes

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