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Record W2431733375 · doi:10.14740/jh263w

Pulmonary Thromboembolism Associated With Mixed-Type Autoimmune Hemolytic Anemia

2016· article· en· W2431733375 on OpenAlexvenueno aff
Mingfeng Lee, Takakazu Higuchi, Ryosuke Koyamada, Sadamu Okada

Bibliographic record

VenueJournal of Hematology · 2016
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAutoimmune hemolytic anemiaImmunologyHemolytic anemiaAntibody

Abstract

fetched live from OpenAlex

A 56-year-old woman presented with mixed-type autoimmune hemolytic anemia (AIHA) and was complicated with deep vein thrombosis (DVT) and pulmonary thromboembolism (PTE). While DVT/PTE has been recently recognized as a complication of AIHA, there has been no reported case of mixed-type AIHA complicated with DVT/PTE. Mixed-type AIHA is a rare subtype of AIHA and both warm- and cold-type autoantibodies were assumed to have contributed to the development of VTE/PTE in the present case. As severe AIHA and PTE share common symptoms, it is important to consider a possibility of the complication of PTE in the management of AIHA patients. J Hematol. 2016;5(2):70-73 doi: http://dx.doi.org/10.14740/jh263w

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.242
Teacher spread0.231 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2016
Admission routes1
Has abstractyes

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