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Research of the Inherited Thrombocytopenias

2011· article· en· W3031767352 on OpenAlexaboutno aff
林慧玲, 朱欢欢

Bibliographic record

VenueGuoji shuxue ji xueyexue zazhi · 2011
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

遗传性血小板减少症(hereditary thrombocytopenia,HT)是一组罕见的遗传性疾病,以不同程度血小板减少和出血为主要特征.主要包括3种类型:小血小板性HT,如Wiskott-Aldrich综合征(Wiskott-Aldrich syndrome,WAS);正血小板性HT,如无巨核细胞性血小板减少症(amegakaryocytic thrombocytopenia,AMT)、具有AML倾向的家族性血小板疾病(familial platelet disorder with predisposition to acute myelogenous leukemia,FPD/AML);以及大血小板性HT,如血小板膜蛋白复合物GPⅠ b-Ⅸ-Ⅴ相关性疾病(GPⅠ b-Ⅸ-Ⅴ-RD)、非肌性肌球蛋白重链9(MYH9)相关性疾病(MYH9-related disease,MYH9-RD)、灰色血小板综合征(grey platelet syndrome,GPS)、X连锁性血小板减少伴地中海贫血(X-linked thrombocytopenia with thalassemia,XLTT)、Paris-Trousseau综合征(Paris-Trousseau syndrome,PTS)和蒙特利尔血小板综合征(Montreal platelet syndrome,MPS)等.本文对本组疾病的发病机制、临床表现和转归,以及实验室检查等方面的研究进展作一综述。

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)0.002
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: none
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.192
GPT teacher head0.381
Teacher spread0.189 · 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
Published2011
Admission routes1
Has abstractyes

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