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Record W2381978082

Evaluation of nucleated red blood cell screening using Sysmex XE-2100 blood cell analyzer

2013· article· en· W2381978082 on OpenAlexaff
You Jiawei

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Studies
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsFlag (linear algebra)ALARMSpectrum analyzerNucleated Red Blood CellBlood cellMedicinePhysicsMathematicsInternal medicineBiologyMaterials scienceOptics
DOInot available

Abstract

fetched live from OpenAlex

Objective To evaluate nucleated red blood cell screening using the Sysmex XE-2100 blood cell analyzer.To analyze positive expected value and negative expected value about the alarm of nucleated red blood cells.And to evaluate the sensitivity and specificity of Q-flag result in a certain range.Methods With manual microscopic examination as the gold standard to recheck 103 cases of Sysmex XE-2100 NRBC alarm(100≤Q-flag≤300) samples and 105 cases of no alarm(Q-flag 100) samples.Results When 100≤Q-flag≤200,the positive expected value was 48%.When 200 Q-flag≤300,the positive expected value was 81%.When Q-flag≥100,the positive expected value was 60%.When Q-flag 100,the negative expected value was 86%.Conclusions Sysmex XE-2100 blood cell analyzer NRBC alarm has high sensitivity and specificity,but there are some interfering factors.The positive expected value of the alarm is associated with the interval about Q-flag value.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.060
GPT teacher head0.297
Teacher spread0.237 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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