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Record W2160224294 · doi:10.1111/vec.12052

Comparison of a gel column blood typing method and a point‐of‐care cartridge for<scp>D</scp>og<scp>E</scp>rythrocyte<scp>A</scp>ntigen 1.1

2013· article· en· W2160224294 on OpenAlexafffund
Shauna L. Blois, Danielle Richardson, Anthony C. G. Abrams‐Ogg

Bibliographic record

VenueJournal of Veterinary Emergency and Critical Care · 2013
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsUniversity of Guelph
FundersHealth Canada
KeywordsTypingCartridgeMedicineBlood typingPoint of carePoint-of-care testingWhole bloodAntigenInternal medicineImmunologyPathologyBiologyMicrobiology

Abstract

fetched live from OpenAlex

BACKGROUND: Blood typing for the presence of Dog Erythrocyte Antigen (DEA) 1.1 is recommended in all donor and recipient dogs prior to transfusion of blood products. The objective of this study was to determine if a point-of-care DEA 1.1 blood typing cartridge could be used in place of the gel column typing method. STUDY DESIGN: Detection of DEA 1.1 was performed using a laboratory-based gel column method and a point-of-care cartridge. A convenience sample of 30 healthy blood donors, 13 dogs with immune-mediated hemolytic anemia (IMHA) (3 of which had concurrent immune-mediated thrombocytopenia [IMT]), and 44 dogs with other diseases was included in the study. KEY FINDINGS: Agreement was observed between the tests for normal dogs and dogs with nonimmune-mediated disease in 74/74 cases. Two dogs in the IMHA group had indeterminate gel column blood typing results; 1 dog in this group had a negative gel column test result but a positive cartridge test result. SIGNIFICANCE: There was good agreement between the 2 methods for normal dogs and dogs with nonimmune-mediated disease. Blood typing methods in dogs with IMHA should be further investigated.

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)0.003
metaresearch head score (Gemma)0.010
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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.041
GPT teacher head0.366
Teacher spread0.325 · 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

Citations17
Published2013
Admission routes2
Has abstractyes

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