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Record W2603742758

Metis-200与Xantus+Poseidon数字血型仪检测效果比较

2016· article· en· W2603742758 on OpenAlex
释艳华, 饶艳华

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue临床输血与检验 · 2016
Typearticle
Languageen
FieldMedicine
TopicInfectious Encephalopathies and Encephalitis
Canadian institutionsnot available
Fundersnot available
KeywordsMetisGeographyComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

目的比较Metis-200(深圳爱康)自动血型分析仪与Xantus双机械臂加样器联合Poseidon数字血型仪检测ABO及Rh D血型的效果。方法同时采用两种自动血型仪对本站无偿献血样本24 866份进行平行血型检测、脂血干扰试验、溶血干扰试验和对比分析。结果两种血型分析仪对ABO血型判读准确率均为100%。通过确认,Metis-200和Xantus双机械臂加样器联合Poseidon数字血型仪检出ABO亚型分别为7例、5例(P〉0.05);检出不规则抗体分别为16例、9例(P〉0.05)。76份不同脂血程度血样在两种仪器上抗干扰试验一次判读正确率均为100%。溶血干扰试验在Hb≤27 g/L时,对UV型微板法结果判读无明显影响,当Hb〉27 g/L时对凝集端有影响,对非凝集端无影响;而当Hb≤20 g/L时,对梯形微板法试验结果无明显影响;在Hb〉20 g/L时对梯形微板法凝集端无影响,对非凝集端有影响。结论 Metis-200自动血型分析仪较Xantus双机械臂加样器联合Poseidon数字血型仪检测ABO及Rh D血型判读更加准确,速度更快,效率更高,极大地提高了血型批量检测的能力。

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.240
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