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Expression of recombinant HA1 protein for specific detection of influenza A/H1N1/2009 antibodies in human serum

2012· article· en· W1501448942 on OpenAlexafffund
Lizhong Luo, Krista Nishi, Erin MacLeod, Marta Sabara, Brenda L. Coleman, Jonathan B. Gubbay, Yan Li

Bibliographic record

VenueMicrobiology and Immunology · 2012
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsPublic Health Agency of CanadaCanadian Food Inspection Agency
FundersPublic Health AgencyPublic Health Agency of CanadaCanadian Food Inspection Agency
KeywordsVirologyHemagglutinin (influenza)BiologyRecombinant DNAAntibodyHemagglutination assayVirusHuman influenzaHemagglutinationInfluenza A virusConcordanceGeneImmunologyCoronavirus disease 2019 (COVID-19)MedicineTiterGenetics

Abstract

fetched live from OpenAlex

The hemagglutinin genes (HA1 subunit) from human and animal 2009 pandemic H1N1 virus isolates were expressed with a baculovirus vector. Recombinant HA1 (rHA1) protein-based ELISA was evaluated for detection of specific influenza A(H1N1)pdm09 antibodies in serum samples from vaccinated humans. It was found that rHA1 ELISA consistently differentiated between antibodies recognizing the seasonal influenza H1N1 and pdm09 viruses, with a concordance of 94% as compared to the hemagglutination inhibition test. This study suggests the utility of rHA1 ELISA in serosurveillance.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.414

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.051
GPT teacher head0.339
Teacher spread0.288 · 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 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

Citations4
Published2012
Admission routes2
Has abstractyes

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