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Record W2488896203 · doi:10.1002/9781118933053.ch10

Feline Recipient Screening

2016· other· en· W2488896203 on OpenAlexaff
Anthony C. G. Abrams‐Ogg

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCATSBlood type (non-human)Blood typingMedicineTiterHemolysisSerologyAgglutination (biology)Coombs testAntibodyDirect agglutination testBlood transfusionImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Agglutination and hemolytic incompatibilities in cats were first reported in the early 20th century in New York City. Out of 40 cats, tube crossmatches identified two cats with strong alloagglutinins that were likely type B cats. Crossmatch incompatibility between two type B cats was reported, as were anti-B antibodies at low titer in type B and type AB cats. These could represent non-AB system incompatibilities or subgroups of type B. Transfusion of type B or AB blood to a type A cat might result in a mild acute reaction or delayed hemolysis from the anti-B activity. In the author's opinion, it is malpractice to perform a blood transfusion in a cat without a compatibility test of some sort, and the admonition of "B careful" should be remembered whenever performing a feline transfusion. Compatibility testing must be performed by serologic methods, which in increasing order of precision are crossmatching, antibody screening, and blood typing.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.089
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)0.0530.001

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 head0.015
GPT teacher head0.283
Teacher spread0.268 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations6
Published2016
Admission routes1
Has abstractyes

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