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Record W2594797596 · doi:10.1136/jclinpath-2017-204351

Variation in haemoglobin measurement across different HemoCue devices and device operators in rural Cambodia

2017· article· en· W2594797596 on OpenAlexafffund
Aviva I Rappaport, Susan I. Barr, Tim Green, Crystal D Karakochuk

Bibliographic record

VenueJournal of Clinical Pathology · 2017
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsBC Children's HospitalUniversity of British Columbia
FundersNational Institutes of HealthInternational Development Research Centre
KeywordsVariation (astronomy)MedicineComputer scienceEnvironmental healthOptometryPhysics

Abstract

fetched live from OpenAlex

: Point-of-use haemoglobinometers, such as the HemoCue, are a common method to measure haemoglobin (Hb) concentration in field settings as the device is portable, requires only a small finger-prick capillary blood sample and computes an immediate Hb reading. The aim of this study was to compare Hb measurements across different HemoCue devices and across device operators using capillary blood samples collected from women during a trial in rural Cambodia. We compared mean±SD capillary Hb concentration (g/L) across n=12 different HemoCue Hb 301 devices and across n=9 device operators among 2846 Cambodian women. Significant variability in mean Hb concentration was observed across HemoCue devices (means ranged from 117 to 124 g/L) and across device operators (means ranged from 118 to 124 g/L). This variability is of particular concern when a single HemoCue device or device operator is used at different time points in surveys or research trials. TRIAL REGISTRATION NUMBER: NCT02481375.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.084
GPT teacher head0.420
Teacher spread0.335 · 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.

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

Citations16
Published2017
Admission routes2
Has abstractyes

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