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[Research on screening specific biomarkers for pathological diagnosis and differential diagnosis of amniotic fluid embolism and amniotic fluid aspiration].

2013· article· en· W2341898551 on OpenAlexaff
Jin-jie Wang, Qian Lai, Yin-bin Wang, Hongyang Pan, Neng-hui Jiang, Chun-feng Yu, Rujun Xu, Li Zhao, Wei Zhang, Fu-ming Dong, Liqin Ma, Jian Chen, Ren Zhou

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsNutrasource
Fundersnot available
KeywordsAmniotic fluid embolismAmniotic fluidMedicineDifferential diagnosisPathologicalPathologyObstetricsPregnancyBiology

Abstract

fetched live from OpenAlex

羊水吸入和羊水栓塞的诊断和鉴别诊断主要依赖HE染色形态学的判断,同时结合临床经过及全身其他脏器改变作出诊断.这种方法在一定程度上依赖于病理医师的形态观察,具有一定的主观性.羊水吸入和羊水栓塞发病迅猛,患者常在发病数小时内死亡[1].再者,由于各种原因,病理检查不能及时进行,导致组织自溶/使典型材料缺乏,或血管内皮和(或)肺泡上皮脱落干扰使形态学特征不典型,或由于栓塞于脏器小血管内的羊水成分数量较少,极易出现漏诊或误诊,临床常因缺少可供客观判断的标志物而导致医疗纠纷.我们利用近年发展起来的兔单抗标记技术,结合常规鼠单抗标记方法,旨在研究和筛选出特异性羊水角化细胞标志,为羊水吸入和羊水栓塞的病理诊断提供客观检测依据。

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)0.008
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.004
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.118
GPT teacher head0.311
Teacher spread0.193 · 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 designBench or experimental
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

Citations1
Published2013
Admission routes1
Has abstractyes

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